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Could Pokémon GO be considered art? Journalist Virginia Heffernan believes the game bears the hallmarks of great art — exploration, movement (of the soul or the soles), and a call to instinct. Heffernan's book is "Magic and Loss: The Internet as Art" (http://goo.gl/Ertv9O).
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Transcript - Pokémon GO has suffused my life. I'm the mother of two fairly young children, 11 and seven almost and they both took to it so quickly. And one of the features of any service or game that swamps our minds is that feeling that you've almost been waiting for it. Sometimes I think about Geriatric 1929, an early user of YouTube, who said when he first saw YouTube he had been an RAF pilot. He's a pensioner in England. He had lived in a state of depression having lost his wife remembering his heyday using radar and sonar during the war. And when YouTube first appeared it was like where have you been all my life? This is what I want to do. I want to be able to communicate with huge numbers of people through the ether. That doesn't appeal to everyone, but it appealed to many of us when we saw YouTube for the first time.
The same thing happened with Pokémon GO. You looked at it, and we've been on the brink of playing with what augmented reality might be for a long time looking at our phones, looking at maps and juxtaposing that with real life and toggling between an experience of looking at screens and looking at real life. And sometimes one is more compelling and sometimes the other is more compelling. Pokémon GO in juxtaposing its little creatures onto the world, it's almost as though, it is as though we've been like almost training for this in our dreams. The onboarding for Pokémon GO is so simple. There's so little to learn. At the same time I was learning that I was trying to play Magic: the Gathering for the card game and there was so much friction in my learning it. I knew that I would be part of a unique cadre if I learned it, and it's very complicated and esoteric, but I just kept getting thrown off the experience. Read Full Transcript Here: http://goo.gl/gTmKll.
From Augmented Reality to Mixed Reality and beyond. Coffee with a Googler catches up with Justin Quimby to geek out about what's next in our progress towards building a holodeck!
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Jedi Experiences is Lenovo and Disney's AR set that lets Star Wars fans fight Darth Vader and Kylo Ren with a lightsaber. You also can play holochess, stage battles, and do it all from your iPhone or Android. It'll be for sale in November.
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We may think of Leonardo Da Vinci as an artist, but he was also a scientist. By incorporating anatomy, chemistry, and optics into his artistic process, Da Vinci created an augmented reality experience centuries before the concept even existed. This video details how Da Vinci made the Mona Lisa interactive using innovative painting techniques and the physiology of the human eye.
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Florian Radke talks about how Augmented reality is not a toy, it’s a powerful tool that will help solve some of the worlds biggest problems. If we do it right, it can be the next great platform for education, human connection and productivity. Like Iron man, we all will soon be surrounded by data and 3D models that we can interact with, as early as the year 2025.
Florian is currently leading communications at Meta, an augmented reality (AR) company that is one of the companies at the forefront of designing our AR future. Meta’s focus is not on creating experiences that distract or pull us out of the real world, but rather that enhance our natural environments and facilitate greater learning and communication than has been available before.
The possible applications range from more immersive classroom learning to a collaborative creative tool that can be used in real time to bring storytellers together from around the world.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
2016 was the year the world started paying attention to Augmented Reality (or AR)...
Why?
Because of Pokemon Go.
Pokemon Go was a phenomenon that took the world by storm but it’s nothing compared to where we’re heading in the future.
Find out how AR is going to impact eCommerce in our latest video.
Google Tango is still in its earliest days, but the 3D sensing technology turns basic games and apps into immersive experiences right on your smartphone -- no AR headset needed. Subscribe: https://goo.gl/G5RXGs
The Verge's Lauren Goode tests it on the Lenovo Phab 2 Pro phone.
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Grant Imahara visits Los Angeles, where he witnesses how augmented reality will be a key component of how builders will do their jobs in the future. This video was created by WIRED Brand Lab in partnership with Mouser Electronics.
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Augmented Reality - The Future of Building | WIRED
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Chris Kluwe wants to look into the future of sports and think about how technology will help not just players and coaches, but fans. Here the former NFL punter envisions a future in which augmented reality will help people experience sports as if they are directly on the field — and maybe even help them see others in a new light, too.
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Mashable Chief Correspondent Lance Ulanoff traveled to San Francisco, California to try out the new HoloLens Developers Edition. But don't get excited quite yet, because, for now, it is only available for developers and businesses, consumers are gonna have to wait. It's important to keep in mind that the HoloLens is almost the opposite of virtual reality. While VR cuts you off from the outside world, the HoloLens enhances your world, creating what's sometimes called “mixed reality.”
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http://www.ted.com Marco Tempest spins a beautiful story of what magic is, how it entertains us and how it highlights our humanity -- all while working extraordinary illusions with his hands and an augmented reality machine.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the "Sixth Sense" wearable tech, and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate
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From Snapchat to Facebook, augmented reality is everywhere. Here are a few simple ways to try it for yourself.
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We sit down with Thea Baumann to talk wearable technology, augmented reality, and fashion for the future. Alongside anime, computer games, and cyberpunk, the creative technologist draws inspiration from the post-90s internet generation and the way that new technologies are shaping social consciousness. Baumann explains how learning to reverse engineer computer games and hack digital landscapes led her to create glam-tech company Metaverse Makeovers, whose products include augmented reality nail art, blurring the boundaries of fashion, technology, and identity.
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Tango phones and impressive new apps show Google's ambitions for augmented reality in classrooms and homes, and how it'll work with VR, too.
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The MIT Media Lab is using innovation to boil efficient teamwork down to a science. With an enhanced ability to communicate across teams, MIT is creating a workplace that shares ideas in unprecedented ways. The Changing Places group at MIT tackles large challenges like fighting pollution and urban modeling; the latter of which is being solved by using a combination of lego bricks and augmented reality.
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How MIT Builds Cities Using Lego and Augmented Reality | Science of Teams | WIRED
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Augmented reality aims to make the world you already see way cooler. So how does it work exactly?
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What exactly is augmented reality? Senior Writer Jonathan Strickland explains what AR is all about and how using digital information in the physical world can transform reality around you.
According to John Hanke, the CEO of Niantic, augmented reality consists of laying information on to the real world, in a way that’s not obtrusive. His company developed Pokémon Go, which was played by millions. “It’s really the perfect game to transform into an augmented reality game,” he says in this animated interview. “[Augmented reality] is the spiritual successor to the smartphone that we know and love today...in the end, I think that it’ll make our lives better.”
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If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Chris Milk uses cutting edge technology to produce astonishing films that delight and enchant. But for Milk, the human story is the driving force behind everything he does. In this short, charming talk, he shows some of his collaborations with musicians including Kanye West and Arcade Fire, and describes his latest, mind-bending experiments with virtual reality.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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How researchers are using gaming technology to revolutionise the way we treat mental disorders; How one doctor's inspirational leadership has made free, top-class public healthcare a reality in Pakistan.
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Our latest doc is about clinic in Los Angeles that uses virtual reality simulations to treat war veterans with PTSD. With host Jody Mitic, a former master sniper for the Canadian military, this short doc explores the efficacy of these systems to treat a highly mysterious mental condition.
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It's the wave of the future that promises users an experience that's out of this world.
Virtual reality brings users as close to the real experience as they can get without ever leaving home.
It's a booming business.
Companies are racing to outdo each other, and come up with the best technology to plunge users into an alternative world.
Sony is the latest company to unveil its newest gadget.
But beyond the fun and games, can virtual reality improve our lives?
Presenter: Hazem Sika
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Benedict Moran - Independent virtual reality Journalist and Filmmaker
Gry Hasselbalch - Co-founder, Data Ethics.eu.
Maarten Laken - Neuropsychologist specialising in virtual reality
Ousama Itani - Senior Innovation Strategist, Al Jazeera
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Chris Milk uses innovative technologies to make personal, interactive, human stories. In this talk, he traces his relationship to music and art, from the first moment he remembers putting on headphones to his current work creating breakthrough virtual reality projects that transport viewers to a new time and place. VR is the last medium for storytelling, he says, because it closes the gap between audience and storyteller. To illustrate, he brought the TED audience together in the world's largest collective VR experience. Join them and take part in this interactive talk by getting a Google Cardboard and downloading the experience at with.in/ted.
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What if you could experience a story with your entire body, not just with your mind? Nonny de la Peña is working on a new form of journalism that combines traditional reporting with emerging virtual reality technology to put the audience inside the story. The result is an evocative experience that de la Peña hopes will help people understand the news in a brand new way.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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The 1990s saw the rise—and fall—of virtual reality. While everyone could imagine a technology that allowed us to be somewhere else, no one was able to make it happen. No one, that is, until an 18-year-old named Palmer Luckey invented the Oculus Rift. We speak with Luckey and other Oculus employees about how they managed to crack one of technology's toughest riddles and make VR feasible for the first time.
Music: "Disco Kerosene" Performed By Circa Tapes (http://circatapes.bandcamp.com/)
Additional footage: Oculus Rift, Corbis, Getty Images
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How Oculus Solved Virtual Reality-WIRED
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Like sex, death, and taxes, VR has been very mysterious. Until now.
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From inside the Oculus Rift headset, players get a 3-D look at the field while headphones provide realistic sound. Teams capture the footage by filming their practices with 360-degree cameras, so the experience inside the VR headset looks and sounds like the real thing rather than a video game.
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VR Will Soon Revolutionize How Football Players Train
VR World is a virtual reality theme park that presents curated video games and 360-degree artistic cultural experiences in order to help the public overcome some of the barriers that have prevented mass adoption. The team wants to prime people for the VR experience as well as collect data to share with developers.
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Chief film critic A.O. Scott discusses how virtual reality may change the movie-going experience. People have predicted the death of cinema over and over, he says, but people still love going to the movies. Scott's book is "Better Living Through Criticism: How to Think about Art, Pleasure, Beauty, and Truth" (http://goo.gl/fx7Mz7).
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Transcript - The question is kind of how virtual reality will interact with or supplant or challenge the theatrical experience because that has proven very durable. The end of movie going is something that's been predicted since the first television set rolled off the assembly line pretty much and has accelerated in recent years. This idea well people are just going to stop going to movies. There is going to be something at home that's going to be so great, maybe it will be goggles or maybe it will be a big TV that no one is ever going to leave the house and going to the movies again, and yet people do. And I think people still will. And if some enterprising producers or filmmakers or technology companies can figure out how to integrate the VR experience into that that could be really interesting. It could also be really strange. I was at a screening of the virtual reality stuff for the Times Magazine and there were a bunch of people sitting in rows of chairs and they were all going like this with their little goggles on. It was really weird. Instead of all looking at the screen they were all kind of kind of together in a theater but in their own little enclosed bubbles.
One thing that's true about movies or about motion pictures let's say is just how constant and how rapid the technological change has been. I mean the movies have been a different thing every single decade of their existence and it's remarkable to look at how fast they moved from the first Edison and Lumiere shorts to the large scale silent features by Griffith and Chaplin and von Stroheim and the others. And then there's sound; then there's Hollywood; then there's color; then there's television; then there's wide screen; then there's 3-D; then there's digital. I mean it happens really, really quickly and at any point it's hard to predict what it's going to look like. And I think it's a matter of the artists figuring out what to do with it. I mean there's this new technology and the one thing that I'm sure of is that the early experiments with it that look kind of so cool and so futuristic now will, a few years from now, look so bizarre and antiquated and strange.
Oculus Touch controllers are here – finally putting our hands in the same virtual space as our heads. Touch was years and scores of prototypes in the making. Watch to see how the form and function came together.
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How Oculus Designed Its Touch VR Controllers | WIRED
Enterprises take advantage of AR/ VR technology.
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Auto, architecture and retail industry innovators show how virtual reality technologies will change the way companies do business. Pixel Pool uses VR to plan retail store design. VR Motion shows how driving and car buying simulation can help the auto industry. Portland startup WILD show how VR can help architects simulate new building structures.
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Are you having trouble planning your home renovation? Consumer Reports explores how virtual reality software or 3D drawings can help you see what your home would look like if you picked certain designs.
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Virtual reality artist Teek Mach takes you into her beautiful 3D paintings. Experience a world that can only come to life in VR.
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Presented By Coors Light // Kate Wurzbacher finds ways to put unimaginable landscapes, animals, and action into your living room by exploring creative solutions for VR.
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Humans do not experience life as a linear narrative, but storytellers from journalists to script writers typically tell us stories that way. 3D virtual reality is an opportunity to live stories the way we live life.
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Transcript - The first wave of digital is going by where people have essentially been focused on digitizing what they already had. So you have newspapers online and radio online and TV online. And a lot of people first thought well, that’s it. And now they realize that’s just the first part. And now it means starting to do things online that you otherwise would not be able to do offline. And that’s what a lot of companies are discovering now. The ones that are the incumbents in the offline world are just starting to discover that that’s just the first part of being online is being digital. And now we’re getting into the piece where it’s about being connected. Being connected in a way that you otherwise wouldn’t be able to be connected. Being able to connect to individual people. So in media connecting with the people formerly known as the audience. But you can take that into education and you can connect with the people formerly known as students. Or you can connect with the people formerly known as patients because the technology exists now to be able to engage with individuals and also get the massive amounts of data that come from that. So that’s a significant shift that’s occurring right now.
Some of the immersive video, 360 video experience that we’ve done have been of Syrian refugee camps so that you get more of a visceral feeling for what that feels like, what it looks like by being able – and by the way it’s not just the video.
The sound being able to get 360 sound so that when you turn your head you hear things in a different way. So that experience has to come together. And that is much richer, has much more information packed in it which gives you more context for the story, right. Now let’s not forget that whether it’s straight linear video or VR oftentimes you’re still trying to tell a story. It isn’t just visiting the Grand Canyon and being in your living room but you’re in the Grand Canyon and you’re looking around. That’s not a particular story. But when you’re doing journalism about hey what does life in a refugee look like. There’s a narrative there. There’s a story. And so being able to immerse yourself adds more texture, more richness to that experience. But still you have to do it in such a way that it doesn’t detract from being able to pick up the story. And that’s where I think this is tricky because I think that the technology is ahead of the storytelling around it.
Because I think storytellers still feel more comfortable in tight linear narrative, right. They’ve already written a script and they’re just out there to shoot things according to the script, right. Versus being able to open that up and then how do you do that while maintaining the storylines that you want to provide. People are still figuring that out. The example I give to folks is like when Grand Theft Auto came out, you know, as a video game. And it wasn’t just a set of missions that you progress through but they created a world and you can roam freely throughout the world and that world was then loosely coupled to these missions. So sometimes you were just roaming around experiencing what that was about and then you’d go back into mission progression mode, then you’d jump out. And I actually think that’s the way that we operate. You know we’re not always in transactional mode. We’re transacting, we’re progressing and then we’re experiencing everything around us. And I think that’s what VR, 360 video gives us the opportunity to do.
Erasing the Self, Living in a Dream, and Creating New Power Relationships with VR | Jordan Greenhall
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"The line between what it means to be dreaming and what it means to be awake is going to become very interesting," says Jordan Greenhall, CEO of Neurohacker. Virtual reality is perhaps the easiest way to conceive of that concept right now, but it's just one piece in a much larger body of accelerated technology on the horizon. Our sense of reality, how our self fits into our perception of the world, can be easily shaken through sensory input manipulation—and in very low-tech and low-quality ways. So image what a sophisticated approach will bring. VR and its relatives will be able to hack our mind in ways we will be helpless to resist—dream up an object and one day it might be 3D printed in quasi-real-time, straight from your imagination. Of course, there are enormous ethical implications. If we think social media encroaches on our lives now, we are not prepared for a future in which dreaming and waking look eerily similar. How will it change election campaigns, personal relationships, will you responsible for your own addictions and behaviors in this future? How will we establish the first rules of consent—hopefully not the hard way. VR will disrupt our very deepest construct: how we see and react to reality. If we are thoughtful about design and ethics, Greenhall hopes this radically upgrade our potential, rather than downgrade how we relate to one another.
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So now let's talk about virtual reality. We have this idea that one of the things that our media does, one of the things the way that we perceive the world does, is change the nature of how our psychology works. Our psychology is designed to be adaptive to our environment, and so if I change the way that we're interacting with the environment I change the psychology, and that has durable effects.
VR is kind of a big deal. It represents a radical increase in our capacity to modify the way that we perceive reality. It's highly immersive, it's multi-modal, so in principle it can be visual, auditory, kinesthetic—I mean we could layer other things potentially in, with electrical stimulation and olfactory if we want to—but the idea is that our conscious sense of self-identity, our position in the world, is actually a relatively loosely held construct.
There's been very good experiments on the way that you can actually cause someone’s sense of even where their body is in space to just go away and make them feel like they're 15 feet in front of where they actually are, because we're always doing our best job to integrate the total input of our sensory modalities to make a coherent gestalt of, 'Oh this is world, and this is self.' And what VR does is it provides enough fidelity of information and enough coherence of modality to jack or hack that underlying mechanism whereby we actually create our construct of self and world. That's a serious fucking thing.
If you think about the way a little kid interfaces with a film, a movie; for a little while they're sort of confused about what's real and what's not real when they're observing it, but there's enough difference between sitting in a chair and watching a video and being in the world that eventually you learn to recognize and separate the two. In VR, and as we get better and better at doing it, that distinction goes away.
And this is quite important. The line between what it means to be dreaming and what it means to be awake is going to become very interesting, and it's going to become more and more interesting, because remember VR is just one piece of a generalized consequence of accelerating technology. So it's not just that we're going to be doing VR, we're also going to be radically improving our actuation capacity in the world in general. And so we can imagine circumstances where I might craft an object in VR, and then—say in quasi-real-time—some mechanism is in fact actually 3D printing that object so then I reach out, take off my VR glasses and the thing that I thought I was creating in an entirely imaginary space is actually physically present in my hand. That's going to cause some very interesting changes in the way that we relate to the difference between what reality can do and what imagination can do.
In just a couple of decades, virtual reality has moved beyond science fiction to become a very real part of people’s lives. Kim Pallister, director of Intel’s Virtual Reality Center of Excellence, describe advances setting the stage for VR to go mainstream.
Learn more here: http://iq.intel.com/vrs-breakt....hrough-moment-what-w
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We examine how virtual reality has evolved over time and will continue to grow as technology improves – from Jaron Lanier coining the term virtual reality in 1987 to the introduction of Google Cardboard in 2014, which made VR more accessible to the masses.
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Today, we’re going to take a look at a seemingly cutting-edge technology that has actually been around for decades - virtual reality. Virtual reality devices have been introduced multiple times in the video game era, but they never seem to stick. But why is that? To try to answer this question we’re going to trace the origins of virtual reality all the way from panoramic paintings in 12th century China to the present and hopefully it will better inform what the future holds for this gaming technology.
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“Our destiny is to become what we think, to have our thoughts become our bodies and our bodies become our thoughts.” - Terence McKenna
Learn More:
The State of Virtual Reality
“Born of technology, virtual reality at its core is an organic experience. Yes, it’s man meets machine, but what happens is strictly within the mind.”
http://www.theverge.com/a/virtual-reality/intro
Terence McKenna on Our Destiny
“Octopi wears its mind on its surface.”
https://www.youtube.com/watch?v=MhpMfo4yxtA
Terence McKenna
“He spoke and wrote about a variety of subjects, including psychedelic drugs, plant-based entheogens, shamanism, metaphysics, alchemy, language, culture, technology, and the theoretical origins of human consciousness.”
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Get a life? Soon it will be that simple, says Kevin Kelly. Five years from now, Kelly anticipates that most of us will have a physical reality and a virtual one – and the second will be as social and kinetic as the first. Forget the idea of VR making us isolated slugs, he says, you will be challenged and connected. Of course for all the perceptive tricks it will play, it will also play commercial tricks. The price of this novelty is all your data, historical and biometric, and with that will come more advertising than ever. What is the beginning of a new dimension of fun, will be the end of privacy. Kelly's most recent book is The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future (goo.gl/UHi30b).
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Transcript: I think in five years or so VR is going to be a really prominent platform for experiences, for business, for commerce, entertainment, and social. Let me tell you why. So I've been trying a lot of the VR gear and the thing about VR is, and the other version of it called MR, mixed reality, which is where you see virtual objects in the real world and VR where you see only the virtual world, both of those operate on a different part of your brain then when you're watching on a screen.
So a very common demonstration in VR is to put on a pair of goggles while you're in a room and then to drop the virtual floor inside away so that you're suddenly standing on a cliff and to ask you to walk out on a plank that's over nothing, maybe it's kilometers deep. And for most people it's almost impossible to do. Your knees start shaking, you're nauseous, even while your brain is telling you hey you're in the same room I was in a few moments ago. But the VR is working on a lower different part of your brain stem it's a much more primeval part of it that experiences things. And when you take your VR goggles off you remember not having seen something but having experienced it. And that ability to get to where we feel things, get to where we experience things is very, very powerful. And in trying many, many of these worlds for almost two decades or more one of the things that's most surprising to me is that the most intriguing things in these worlds are not incredible objects, they're not amazing worlds, they're actually other people.
So when you have a world with other people in it that's really what's the most powerful thing. And we now have the ability to add a couple things to make those people seem real. One of them is eye contact. The other one is the ability to have real-time capture of their movements so you can see their body language and you can detect that that's actually this other person. And the experience is a real experience. And that experience of other people I think is going to make VR the most social of all the social media. And actually we've been trying a couple of these VR games where you have to do stuff physically and even the idea that this is sort of you're going to become a big slug in the closet isolated is totally wrong. This is going to be some of the most callisthenic kinetic activity that we're going to undergo. So VR is likely to become the social platform within five years. And this is the place where we're going to download, exchange, buy, purchase experiences, which are going to be some of the most valuable things that we can create. And they'll be a whole economy based around this.
And then the amount of data that is necessary to make this work is huge. There's going to be no VR without AI. And the VR companies who make this are going to become the largest data companies in the world because in order to have your avatar in the VR real time you have to capture so much of our behavior that we're going to be capturing behavior that's expensive to capture outside in the real world but it's going to be very cheap to capture in VR. And the companies that are running these they're not making their money selling goggles, they're going to be collecting our lives data and that's going to be their wealth. And so part of the attraction for business in VR is going to be the fact that everything is quantified, that everything is digitized and our digital lives are going to become paramount there. And so the issues about who owns that data, the issues about who controls that data, the issues about what can be done with it will continue to loom and the power of what you can do with that will be harness by AI because that data alone is just a headache without AI. And that promise of having a virtual life is going to be I think the big thing in business in five years.
Senior Writer Jonathan Strickland gives a quick rundown on the basics and history of virtual reality. What makes VR such an immersive experience?
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Windows Mixed Reality enables a world of mixed reality – where all sorts of devices work together – regardless of whether they are developed for virtual reality, augmented reality, or anything in-between. Windows Mixed Reality will help expand the Windows ecosystem far beyond the PC.
Not all featured devices run Windows Mixed reality but are compatible with the Windows operating system.
Learn more: http://wndw.ms/rcSKZ2
A explanation of virtual and augmented reality. Includes a brief history and description of the differences.
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The age of virtual realty is here but augmented reality and its cousin mixed reality are making strides. WIRED senior editor Peter Rubin breaks down the new platforms.
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AR, VR, MR: Making Sense of Magic Leap and the Future of Reality
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Today on the SciShow Talk Show, Ben Malouf shows off some of his 3D printed designs and talks with Hank about how he got into the world of 3D printing. Then Jessi from Animal Wonders joins in to share Holmes and Watson, the northern walking stick insects.
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Thanks to the 3D printing revolution, this company printed out a tiny home in just 24 hours.
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New Matter is the latest company to join the broadening 3D printer market — the Mod T is set to be one of the cheapest yet, and it's one bolstered by collaboration with Frog Design. Still, the question remains: why would I want this?
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What’s happening right now in the world of 3D printing and what innovations are just around the corner?
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Industrial 3-D printing facilities, like Shapeways in Long Island City, are revolutionizing product design and manufacture.
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We visited Makergeeks.com where 3d printer filament is being made. You can see the process in action in this video.
The "Inside 3D Printing Conference & Expo" hails 3D printing as being part of the "third industrial revolution." Views from the ground floor offer perspective into 3D printing's evolution, and the ways in which 3D printing could live up to the hype.
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So far, space travel is limited because we have to transport everything we need using rockets. But what if we could build whatever we needed? Jason Dunn, whose company built the first 3D printer to operate in space, shares his Brief but Spectacular take on the future of self-sufficiency in space travel.
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Shapeways opens up 3D printing to the masses, allowing us to design and share our ideas as well as realize them as physical objects.
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Most printing is limited to a 2D sheet of paper. 3D printing is an innovative technology that is opening the possibilities for design expression.
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3D printing is the future of fabrication, but there's one problem: It uses a lot of plastic. Enter 3D Brooklyn, a small studio that uses materials that can't be recycled the old-fashioned way, like potato chip bags, as the raw ingredients for its 3D-printed objects.
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Several companies are developing 3D printers that might eventually be able to print organs...in space! What!?
Also, researchers have spotted an object far out in the solar system that may turn out to be a dwarf planet.
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Sources:
https://www.youtube.com/watch?v=tAzcB_3dVzE&feature=youtu.be
https://www.youtube.com/watch?v=T_vpsqVn2A8
https://3dprint.com/138833/zer....o-g-heart-tissue-bio
http://www.space.com/33166-spa....ce-station-commercia
http://www.space.com/33234-3d-....printing-human-organ
http://www.cfht.hawaii.edu/en/news/NewDwarfPlanet/
http://www.space.com/33387-dwa....rf-planet-discovery-
http://www.nytimes.com/2016/07/14/science/astronomers-discover-new-likely-dwarf-planet.html?smid=tw-nytimesscience&smtyp=cur
http://www.nature.com/nbt/jour....nal/v32/n8/full/nbt.
http://www.nature.com/news/the....-printed-organs-comi
Images:
https://commons.wikimedia.org/....wiki/File:Star_Trek_
http://www.techshot.com/news.php
http://www.nasa.gov/content/in....ternational-space-st
http://www.nasa.gov/mission_pa....ges/station/research
https://commons.wikimedia.org/....wiki/File:Canada-Fra
https://commons.wikimedia.org/....wiki/File:Mimas_Cass
https://commons.wikimedia.org/....wiki/File:14-281-Kui
Voodoo Manufacturing wants to marry efficiency and automation like no other digital manufacturing company. Read the story: https://www.fastcompany.com/30....68513/meet-the-3d-pr
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How culinary scientists are building the meal of the future, layer by layer.
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3D Printing Our Food | The New Yorker
Producer: Sky Dylan-Robbins
What we think of as 3D printing, says Joseph DeSimone, is really just 2D printing over and over ... slowly. Onstage at TED2015, he unveils a bold new technique — inspired, yes, by Terminator 2 — that's 25 to 100 times faster, and creates smooth, strong parts. Could it finally help to fulfill the tremendous promise of 3D printing?
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3D printing is changing the way we produce objects, from tools and toys, to food, and even body parts. It's a tech revolution taking place in homes across the world.
But how does it work exactly, and what makes it so efficient? Mashable explains the basics of 3D printing technology.
Sources:
Additive Manufacturing footage courtesy of GE Aviation:
https://www.youtube.com/watch?v=l0SXlkrmzyw
Makerbot Replicator 2 photo:
https://www.makerbot.com
3D Printing Food footage courtesy of Choc Edge:
https://www.youtube.com/watch?v=8FUq_2IU2Uo
3D Printed Candy:
https://www.youtube.com/watch?v=8WWHpWgaq7I
Bioprinting and regenerative medicine:
https://www.youtube.com/watch?v=G0EJmBoLq-g
TEDTalks Anthony Atala:
https://www.youtube.com/watch?v=9RMx31GnNXY
3D Printed Houses in Shanghai:
YouTube, RT
Special thanks to Makerbot.
Produced by Armand Valdes
Additional filming by Bianca Consunji
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What if instead of going to the store to buy a new toilet brush, all you had to do was walk into your office and print one out? With recent advances in 3D printing, such a scenario might not be as far away as you think.
Special thanks to Ben Malouf of Acuity Design for letting us take some footage of his awesome 3D printers! Check them out at http://acuitydesign.co
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How will 3D printing change our world?
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Further Reading:
Living Cells:
http://www.huffingtonpost.com/....2013/02/20/scientist
http://www.bbc.co.uk/news/technology-20972018
Space Colonization:
http://www.forbes.com/sites/st....evenkotler/2013/10/2
Real vs Hype:
http://gigaom.com/2013/10/02/t....he-future-of-consume
Chris Anderson on the desktop manufacturing and 3D printer revolution.
"A company within a company." That's the story of Shapeways, a startup that began in an incubator within Dutch conglomerate, Philips. And Shapeways itself is something of an incubator — a 3D-printing marketplace that allows for others to make a business out of their work.
Small Empires is our new weekly show that visits rising New York City startups and provides never-before-seen access to the men and women building our future. Join Alexis Ohanian as he talks to Shapeways CEO Peter Weijmarshausen, as well as Shapeways artist / cufflinks aficionado Peter Knocke, whose work is made via Shapeways. (Note: this is our mid-season break. We won't be back next week, but we'll see you soon!)
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Bill Nye casts his mind to the future to give us a picture of how the descendants of our current 3D printing technology will change our ways and our world.
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Transcript - 3D printing technology is I won’t say the greatest thing ever but it’s pretty great. So the other word you’re going to start seeing a lot more of I think is additive manufacture. 3D printing is kind of a specific style where you do layers. But I think you’ll see other additive manufacturing schemes following different fluids and materials that are buoyant in those fluids and then extracted and shapes can be created that are not possible, impossible to create by subtractive manufacture which is what I was brought up with as an engineer. You cut threads in a piece of metal or plastic to get a threaded fastener. You hollow something out. I often think about the astronauts rock boxes so they took boxes to the moon to put rocks in and bring them back to the Earth in a hermetically sealed fashion. And in order to get the boxes to be lightweight the machinist’s term is they were hogged out. So they started with a piece of aluminum this big, hollowed the whole thing out with a milling machine.
Chips of aluminum just go on the shop floor to get this thin but yet very, very strong final shape. Well in the future or maybe this afternoon very few of us will manufacture objects like that subtractively. Instead this will be made additively. And it will be lighter weight, cheaper, less waste and it will enable many, many people to participate in the additive manufactured process. And then if you have a problem at home where something’s broken, pick a thing. Your toaster. You’ll go online, find a new toaster control knob, maybe a family of designs. You’ll pick the one that you like. You’ll go to the spiritual equivalent of FedEx/Kinkos and they’ll have an additive manufacturing machine there. If you need a really sophisticated you’ll call a more sophisticated additive manufacturing machine shop. And they’ll make the thing for you. And you will not waste the toaster. You will not throw it away. You will not waste nearly as much material, hardly any material if you hadn’t manufactured the new knob or a piece or a heater wire. And this will allow us to do more with less. Read Full Transcript Here: https://goo.gl/mocoaG.
A three-dimensional, digital representation of an object created with a computer and then sent to an inkjet printer that builds the prototype in three-dimensions. This innovative tool is giving scientists, engineers and backyard inventors a faster, easier and less expensive way to turn their ideas into a reality.
Provided by the National Science Foundation & NBC Learn
What do nanobots, better water filtration, and space colonization have in common? They're all being made possible by advances in 3D Printing!
This video was made in collaboration with & sponsored by http://www.emerson.com/ilovestem
SEM image of the 3D printed battery courtesy Wyss Institute at Harvard University. https://www.seas.harvard.edu/n....ews/2013/06/printing
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Sources:
http://onlinelibrary.wiley.com..../doi/10.1002/adma.20
http://www.popsci.com/technolo....gy/article/2013-06/3
https://www.seas.harvard.edu/n....ews/2013/06/printing
http://www.computerworld.com/a....rticle/2497979/emerg
https://3dprint.com/15768/nano....-sun-3d-print-water-
http://www.sciencedirect.com/s....cience/article/pii/S
http://www.nature.com/nature/j....ournal/v523/n7561/fu
http://www.theverge.com/2015/7..../22/9013851/dna-nano
http://www.computerworld.com/a....rticle/2923841/3d-pr
http://www.nasa.gov/mission_pa....ges/station/research
http://sservi.nasa.gov/article....s/building-a-lunar-b
http://www.esa.int/Our_Activit....ies/Space_Engineerin
Media Sources:
https://commons.wikimedia.org/....wiki/File:Robot_3D_p
https://www.seas.harvard.edu/n....ews/2013/06/printing
https://commons.wikimedia.org/....wiki/File:Samsung_Ga
https://commons.wikimedia.org/....wiki/File:2011_Nissa
https://commons.wikimedia.org/....wiki/File:Butchfirst
https://commons.wikimedia.org/....wiki/File:ISS-42_Bar
https://commons.wikimedia.org/....wiki/File:Apollo_11_
http://www.esa.int/spaceinimag....es/Images/2013/01/Lu
http://www.esa.int/spaceinimag....es/Images/2013/01/1.
If you are interested in learning more about this topic, please visit https://www.gcflearnfree.org/t....henow/what-is-3d-pri to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Much attention has been paid to 3D Printing lately, with new companies developing cheaper and more efficient consumer models that have wowed the tech community. They herald 3D Printing as a revolutionary and disruptive technology, but how will these printers truly affect our society? Beyond an initial novelty, 3D Printing could have a game-changing impact on consumer culture, copyright and patent law, and even the very concept of scarcity on which our economy is based. From at-home repairs to new businesses, from medical to ecological developments, 3D Printing has an undeniably wide range of possibilities which could profoundly change our world.
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
The blockchain project that has gotten the most traction is Ethereum. Led by the enigmatic Vitalik Buterin and a constellation of coders and venture capitalists, Ethereum could one day run the world. But the recent hack of its Decentralized Autonomous Organization has raised doubts.
Watch more: https://www.youtube.com/playli....st?list=PLHRxVckaE8d
Trust Disrupted is based on the book Digital Gold by Nathaniel Popper. Produced by Stateless Media, it is an exclusive TechCrunch series that offers an in-depth look into the how and why of bitcoin.
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With Bitcoin facing an uncertain future, the technology behind Bitcoin -- the blockchain -- is poised to overtake its original application. Startups, central banks and massive financial institutions in New York, London, Shanghai and elsewhere are starting to get in on the game.
Watch more: https://www.youtube.com/playli....st?list=PLHRxVckaE8d
Trust Disrupted is based on the book Digital Gold by Nathaniel Popper. Produced by Stateless Media, it is an exclusive TechCrunch series that offers an in-depth look into the how and why of bitcoin.
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As Bitcoin has grown, it's been forced to contend with a flood of traffic on the network. Developers are divided about what to do.
Watch more: https://www.youtube.com/playli....st?list=PLHRxVckaE8d
Trust Disrupted is based on the book Digital Gold by Nathaniel Popper. Produced by Stateless Media, it is an exclusive TechCrunch series that offers an in-depth look into the how and why of bitcoin.
New episodes every day this week. Subscribe to TechCrunch today: http://bit.ly/18J0X2e
At the heart of Bitcoin is the global network of mines and miners, from the United States to China to the former Soviet Union, who run it. These people not only process every Bitcoin transaction. They also play an outsized role in governing the system -- for better and for worse.
Watch more: https://www.youtube.com/playli....st?list=PLHRxVckaE8d
Trust Disrupted is based on the book Digital Gold by Nathaniel Popper. Produced by Stateless Media, it is an exclusive TechCrunch series that offers an in-depth look into the how and why of bitcoin.
New episodes every day this week. Subscribe to TechCrunch today: http://bit.ly/18J0X2e
For years, futurists and developers sought to create a truly digital currency. Finally, in 2009, they succeeded, with Bitcoin. Their secret? The blockchain. Now, the very institutions Bitcoin sought to sidestep or overturn -- governments and big banks -- are coopting that technology.
Watch more: https://www.youtube.com/playli....st?list=PLHRxVckaE8d
Trust Disrupted is based on the book Digital Gold by Nathaniel Popper. Produced by Stateless Media, it is an exclusive TechCrunch series that offers an in-depth look into the how and why of bitcoin.
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If you've ever played Team Fortress 2, you know how valuable hats are. To those who haven't: yes, HATS! If a community agrees on the value of something, then that thing can become a currency, to exchange for other goods. Just like american dollar bills (or euros, yen, or any other currency), or... bitcoins. Bitcoins are an online currency worth over $200,000,000, and though they are just 1s and 0s, some think that this is the future of money. On the other hand... mo bitcoins mo problems.
While it's yet to be seen whether or not bitcoin will revolutionize the way we handle money in the digital area, one aspect of the cryptocurrency is garnering a lot of attention. The blockchain is the backbone of Bitcoin, and is being heralded as the most important innovation since the Internet itself. So how does it work, and why is it so important?
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Ari Paul, CIO of cryptocurrency hedge fund BlockTower Capital, talks with Business Insider executive editor Sara Silverstein about the value in cryptocurrency, like bitcoin, and where he thinks the market is headed in the next two years.
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What is the blockchain? If you don't know, you should; if you do, chances are you still need some clarification on how it actually works. Don Tapscott is here to help, demystifying this world-changing, trust-building technology which, he says, represents nothing less than the second generation of the internet and holds the potential to transform money, business, government and society.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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In "The Revolution of Crypto Currency - The Zen of Monetization #2" you get a quick overview of bitcoin technology. Find out why it's interesting, how it works and what are the main challenges.
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Central banks are experimenting with their own versions of cryptocurrency. Experts weigh in on how this will shape the market's future.
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Next Stop In The Cryptocurrency Craze: A Government-Backed Coin | CNBC
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Tech pioneer Brad Templeton calls Bitcoin just one example of how exponential technology is redefining finance. Understanding these changes in advance is a major advantage for individuals and businesses that want to stay a step (or 100 steps) ahead of their peers.
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Transcript - Brad Templeton: So what Bitcoin creates is a ledger that needs no bank. And that's actually pretty important because if you think about what is a bank, at least as far as the money transfer and the checking and savings, not the loan part, but the financial, the moving money part of a bank, it's really — it's a secure ledger. The bank does not just have a little file that says your account has $3,000 in it. They insist that when you write something, they make a note in their ledger that $1,000 is transferred from your account into someone else's account and so on and that's important to make it secure. Well, what the designers of Bitcoin created was a way to make a ledger that's secure and that everyone can trust, but that no one owns or controls. And this allows people to have money that can be free of the influence of governments, which is both bad if you're a government and great if you don't like what governments do with their monetary policies. It lets the policy be set by consensus and software. So Bitcoin basically has found a way to always know what the majority thinks, and by always knowing what the majority thinks, you get something you hope you can trust.
While the only thing people use Bitcoin for today is effectively to write checks that transfer title in some Bitcoins to another person or another secret numbered account because it's designed to be public in what you do, but private in terms of who's doing it. It actually becomes possible to do things like write a contract and say "I transfer one Bitcoin to you if the following is true." And so now the contracts are enforced without courts, without any other third party. So the ability for people to just play with that and innovate with that that's really exciting and that's why you want to pay attention to Bitcoin.
Say hello to the decentralized economy -- the blockchain is about to change everything. In this lucid explainer of the complex (and confusing) technology, Bettina Warburg describes how the blockchain will eliminate the need for centralized institutions like banks or governments to facilitate trade, evolving age-old models of commerce and finance into something far more interesting: a distributed, transparent, autonomous system for exchanging value.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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Bitcoin will bring a seismic shift in global finance, says Toni Lane Casserly: "If you are an institution with integrity, generally I would say you don't have anything to worry about." ... So long to the world as we know it.
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Transcript - Bitcoin is the Internet money. And I say that Bitcoin is the Internet of money not because Bitcoin in and of itself is the Internet but because Bitcoin empowers for the idea of money what the Internet was able to do with information. And in doing that it gives any person in the world the ability to quantify, create, store and share the idea of value in a way that we as a human race have never really been able to do before. And Bitcoin is to Blockchain as email is to the Internet. It is the first major use case of a technology that is so fundamentally going to change the way that we think about our everyday life that it will transform every interaction we have from inception on.
Blockchain is called a blockchain because it's literally just that. It is a series of blocks created by computer solving complex math problems that are chained together. And the way that Bitcoin is created is any time one of these blocks, like imagine you just have a bunch of sheets of paper and anytime one of the sheets of paper gets full a bunch of supercomputers from all around the world are all trying to solve these insanely complex math problems that get exponentially more difficult over time. And to give you perspective, it's literally easier to find one grain of sand in the entire universe than it is for one of these computers to solve a math problem created by the Bitcoin blockchain. And because these are so complex and because anytime one of these little computers tries to solve one of these problems they only have a 50/50 chance of getting it right no matter how many times they try and solve it. And so Bitcoin right now is actually the world's largest super computer. It has 500 times the computing power of Google just to create bitcoins. Now anytime one of these computers solves a math problem they get Bitcoin, they create the blocks, cement it and these blocks are all chained together in one long ring. And that has a genesis block and is essentially infinite from the moment the first block on the blockchain was created. And every transaction that happens on the blockchain is stored on the blockchain cannot to be erased, cannot be deleted because the core properties of this technology are fundamentally that a blockchain is borderless, it is decentralized, it is voluntary and it is immutable. Read Full Transcript Here: https://goo.gl/Fptl7N.
Investment manias throughout the centuries have ranged from tulips to tech stocks to housing; is bitcoin different? Image/Video: Daniel Epstein
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Baffled by bitcoin? Confused by the concept of crypto-currencies? Well, fear no more. In 190 seconds we explain what bitcoin actually is, where the idea came from and the impact it's having around the world. Is bitcoin the future of finance, a potential destroyer of the economy ... or just a silly slice of technical utopianism?
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Can Bitcoin solve poverty on the Pine Ridge Indian Reservation? Payu Harris thinks so. The South Dakota entrepreneur is trying to convince his tribe, the Oglala Lakota, to make MazaCoin its official currency. Harris has passion, but centuries of exploitation and broken promises have taken a toll on Pine Ridge, and his idea might be a hard sell.
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The most watched Bitcoin introduction video ever. Updated in April 2014, this video explains how bitcoin works and the importance of this paradigm shifting technology.
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Odds are that you’ve been hearing more and more about cryptocurrency as digital tokens like bitcoin and ethereum have become valuable commodities. Converts (and investors) say that cryptocurrencies built on blockchain technology represent the future of money, finance, and commerce. But skeptics say that digital currencies represent crowd-sourced pyramid schemes or are fuel for another tech bubble.
We met with Olaf Carlson-Wee, who was the first employee at the cryptocurrency broker Coinbase, where he famously took his entire salary in bitcoin. Now, Carlson-Wee runs a hedge fund that deals exclusively in crypto-assets. We talked with Carlson-Wee in San Francisco about money, trust, and how he made his friends rich.
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Imagine a world where facts rule the Internet, and lies and rumors are stripped of their disguises before they can do damage. That's actually possible, explains tech expert Brian Behlendorf, the executive director of the Hyperledger Project (who was also a primary developer of the Apache HTTP Server, the most widely used web server in the world). Although a completely truthful Internet might be dull, and a little totalitarian, it would be sweet relief for all digital citizens if someone could end fake news. Distributed ledger technology like Blockchain could do that, says Behlendorf, by changing the way organizations collect and store data. If data were decentralized or transparent on an unmodifiable Blockchain, it would be almost impossible to attack the source or integrity of someone's data on that open ledger. "I view distributed ledger technology as the closest thing we have in the technology field to being able to say something is a fact," says Behlendorf. A distributed ledger system could also be used to help us check our confirmation biases in response to fake news. Currently, central providers like Facebook and Google can alert you to news sources that may be less than factual, but imagine a decentralized version, like a Yelp for news media, with experts who score platforms on their integrity, as well as crowd-contributed ratings. In the future, what if the Internet helped resolve controversy instead of cranking the rumor mill?
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Transcript: So, the question is: can distributed ledger technology, can blockchain technology be used to fight fake news? And you know it’s funny, I view distributed ledger technology as the closest thing we have in the technology field to being able to say something is a fact. If we’ve recorded a Bitcoin transaction, essentially we have an entire network witnessing that I’ve sent you some number of Bitcoin or some number of a digital asset, a huge number. And now I can't deny that I made that transaction and you can't deny that I made that transaction and that is a really powerful thing. In a way it's kind of like Wikipedia when somebody puts something in there and everyone has seen that and if it's wrong it gets removed, that’s something as well that’s coming to be accepted as factual. So I think the possibility of using distributed ledgers to record data that is of really high quality because it’s being recorded when it happens, it's being witnessed by a large number of people and thus made undeniable, immutable, in this ledger. We have a chance of creating a body of data that can come to be trusted in a way that data normally can’t. Think about the debate over climate change; there’s not only been attacks on, 'Do you have the right weather model? Are you really showing this?' but attacks on the fundamental collection of that data in the first place. Imagine if instead of debating whether you had the right data or I had the right data or a piece of data goes missing or an entire dataset goes missing when there’s a change in political administration, let’s say, instead of that imagine if instead we had weather sensors and air quality sensors on a hundred rooftops in every major capital around the world collecting this data and publishing it to a public ledger.
The next tier up though, which is really what people talk about when they think about fake news, is analysis, interpretation, claims, but also rumor. When somebody hears a rumor of something very scurrilous happening and it correlates with what they want to believe, chances are they’ll believe it and they’ll pass it off to their friends. And so you start to see companies like Facebook and Google and others starting to implement systems that when you forward a link to a friend that comes from a source that is known to be of questionable quality, they’ll pop up a little warning that says, 'According to Snopes.com or according to the AP or somebody this article might not be factual.' That’s something you can do when you’re a central provider like Facebook or like Google, but wouldn’t it be great to do that in a decentralized way? When somebody sends you a news link to a website you’ve never heard of before, not The New York Times, not AP or Fox News or whatever, where you have some context, but it’s some other link somewhere else, how much should you trust that? Well a lot of folks have talked about building a distributed ledger system for recording thrust in media sources. So here’s a website, here’s people that we recognize, like Snopes, as authorities on whether something is true or not, but why not you be able to publish something to that chain as well, or me, that says, 'This does seem to be right to me or this doesn’t seem to be right.'
Start-ups have raised billions of dollars through initial coin offerings this year, but regulators are starting to crack down.
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Ever Heard Of ICO? Start-ups Are Using ICOs To Sell Cryptocurrency For Cash | CNBC
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The Blockchain and it's potential simply explained.
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https://www.economist.com/news..../briefing/21677228-t
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Blockchain, the key technology behind Bitcoin, is a new network that helps decentralize trade, and allows for more peer-to-peer transactions. WIRED challenged political scientist and blockchain researcher Bettina Warburg to explain blockchain technology to 5 different people; a child, a teen, a college student, a grad student, and an expert.
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Blockchain and Bitcoin explained in five minutes: Blockchain technology will drastically change our lives.
In the coming years, Blockchain, the technology behind crypto currencies such as Bitcoin, will inevitably and radically change the role of traditional trusted parties such as banks, accountants, notaries, and governments. The animated video about Blockchain and Bitcoin that was released today on http://bitcoinproperly.org is the first to specifically address the technology behind Bitcoin: the Blockchain. Within five minutes, it is explained how the essential functions of the “trusted third party” can be automatized through the Blockchain as well as what the implications of this are.
From Bitcoin hype to Blockchain revolution: an internet of trust.
With the arrival of crypto currencies such as Bitcoin, everyone around the world can trade with each other without any involvement from traditional third parties such as banks, notaries, accountants, and governments. Trade is a fundamental pillar of our economy and society, and traditional trusted parties play a crucial role in this.
The technology behind Bitcoin making all this possible – the Blockchain – ensures that the essential functions of the “trusted third party’, are fully automatized through the internet. This way, these functions are as freely available, accessible, and programmable as the internet itself.
The animated video, available in both Dutch and English, explains how this works, also mentioning practical applications. The implications are clear: in the coming years, the role of the traditional trusted parties will inevitably and drastically change, strongly impacting our daily lives.
The creators of this animated video invite its viewers to think about and discuss the fundamental and radical innovations made possible by crypto currencies.
Rutger van Zuidam founder of Dutchchain, organizer of the Dutch Blockchain Hackathon: “The Netherlands have all the assets to become Europe’s Silicon Valley of financial technology. It is possible for the Netherlands to position itself favourably in comparison to the US and UK, who are currently still ahead. The technology behind crypto currencies like Bitcoin plays an essential role in leveraging these opportunities. We hope that the animated video about the technology behind crypto currencies will positively affect this development.”
Lykle de Vries: ”Bitcoin is not the new money for internet,but it is the new internet for money, value and ownership in all forms. Crypto currencies like Bitcoin are the next step in the emancipation of all world citizens, and can help create a new dynamic for democracy, society and economy.”
About the creators
The animated video is a non-profit initiative by designers Patrick Loonstra (www.patrickloonstra.nl) and Sebas van den Brink (sebasvandenbrink.nl) and entrepreneurs Lykle de Vries (ThesisOne.com) and Rutger van Zuidam (DutchChain.com).
Whether or not it's worth investing in, the math behind Bitcoin is an elegant solution to some complex problems.
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Sources:
https://bitinfocharts.com/
https://chrispacia.wordpress.c....om/2013/09/02/bitcoi
https://www.youtube.com/watch?v=Lx9zgZCMqXE
https://www.youtube.com/watch?v=nQZUi24TrdI
https://bitcoin.org/en/how-it-works
http://www.forbes.com/sites/in....vestopedia/2013/08/0
http://www.makeuseof.com/tag/h....ow-does-bitcoin-work
https://blockchain.info/charts/total-bitcoins
https://en.bitcoin.it/wiki/Controlled_supply
https://www.bitcoinmining.com/
http://bitamplify.com/mobile/?a=news
Image Sources:
https://commons.wikimedia.org/....wiki/File:Cryptocurr
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Does a set of data make you feel more comfortable? More successful? Then your interpretation of it is likely wrong. In a surprisingly moving talk, Susan Etlinger explains why, as we receive more and more data, we need to deepen our critical thinking skills. Because it's hard to move beyond counting things to really understanding them.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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Using data to predict future events—whether it's the behavior of the stock market or the effectiveness of a drug in one particular person—would be a boon to nearly every aspect of society. But it's an enormously difficult task that's yet to be perfected. At the 2016 World Science Festival, data scientist Chris Wiggins discussed why prediction is such a big challenge.
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In this episode, legendary photographer Rick Smolan turns his lens toward big data—the idea that insightful, cohesive narratives exist within all the data and information generated by our everyday actions, purchases, and web searches. What does big data say about you? What is this information used for?
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Photos from The Human Face of Big Data; Photos by MIT Sensible City Lab, Michael Tompert, Douglas Kirkland, Jim Watson, Joedson Alves, Andrew Esiebo, Joel Sartor.
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EPIPHANY is a series that invites impassioned thought leaders across all disciplines to reveal the innovative, the improbable, and the unexpected of their worlds.
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Is big data killing good music? As part of a collaboration between The Atlantic and PBS NewsHour, Judy Woodruff speaks with Derek Thompson, whose piece in this month’s magazine featured how data collected by Shazam and other music apps is not just predicting the next hit but influencing today’s music as well.
City agencies have access to a wealth of data and statistics reflecting every part of urban life. But as data analyst Ben Wellington suggests in this entertaining talk, sometimes they just don't know what to do with it. He shows how a combination of unexpected questions and smart data crunching can produce strangely useful insights, and shares tips on how to release large sets of data so that anyone can use them.
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Rick Smolan, the CEO of Against All Odds Productions, has photographed the world, but these 5 things still manage to catch his attention! In this episode of EPIPHANY, get an inside look at Rick Smolan's world!
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THE HUMAN FACE OF BIG DATA premieres Wednesday, February 24, 2016, 10:00-11:00 p.m. ET on PBS.
In the past we thought of things, we wrote it down and that became knowledge. Big Data is kind of the opposite. We have a pile of data that isn’t really knowledge until we start looking at it and shifting it into this interesting piece of information.
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There are so many ways to spend money on health care, but which offer the most bang for the buck? Dr. Chris Murray is trying to answer that question with an equation that measures the impact of different interventions. Countries that rely on big data have made big strides in health care, but some say the system ignores the human side of medicine. Science correspondent Miles O’Brien reports.
Politicians have been redrawing districts to benefit their own political parties—a tactic known as Gerrymandering—since the 1970s. But recently, data aggregation technology has enabled politicians to choose their voters more strategically than ever before.
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THE HUMAN FACE OF BIG DATA premieres Wednesday, February 24, 2016, 10:00-11:00 p.m. ET on PBS.
We’ve begun an age of collecting information from sensors that are cheap and plentiful so that we can continuously process and learn things about our lifestyles and health. We can start to understand how we can collectively as a culture change our behavior.
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Former Citigroup CEO Vikram Pandit explains why new branches of data science must steer from the impulse to measure correlation and instead seek to explore causality. New discoveries in causality built upon big data can then be used to help people break bad habits and steer clear of harmful behaviors.
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Transcript: The change in the world today is the availability of immense data. As a matter of fact every individual has a digital footprint. And by looking at that footprint you can pretty much tell what drives them. That's new. When I went to school it was all about I have so little data therefore let me come up with the fanciest tools to get as much information out of it. Today it is about I have so much data how do I get to figuring out what does that data tell you? And I think that's the shift. Those are the new sciences. And here's the problem with data. The problem with data is I can do a lot of garbage in garbage out. I can look at data and say here's the relationship between this and this. And that doesn't mean the one thing causes the other, it's just that the two are linked. So a lot of the data sciences are about this is correlated with this and therefore I'm going to assume they're related. I'm going to assume they're correlated and that one drives the other.
But that's not the case. That can be pretty dangerous. So the best new techniques get at the constant of causality, what causes what? That's what I really want to know in data. And when you get to thinking about causality, causality is usually some human behavior that's driving that. And so the confluence of behavioral economics and behavioral sciences that tells you this is how humans behave and taking that, together with data, and trying to create these behavioral causal models is really the Holy Grail of data analysis. And that's an art. You can have lots of machines and people can do it, do it to a great extent, but the last mile is always about understanding that human behavior. So today it's still an art. It's a very powerful art. But the benefit of that is that you could actually aid individuals in saying this is what's driving this behavior or this is what's driving what you're doing.
And by the way, do you want to correct that or keep doing what you're doing? That's so important in the world of finance because people tend to procrastinate, sometimes they don't need to look so far ahead as they should. These kind of sciences can add a lot to helping individuals and their financial needs as an example.
When you look at data, when you look at what drives people and how they behave, there's so many different types. The one thing we can be sure of is that it's a rarity to find sort of the rational Adams Smith individual. There are fewer of those than people think. Everybody has some different ways of behaving, but there are so many of them. For example, pick a number and you may say 50. And if I follow up that with a question of how many people do you think are in this building? It turns out your mind gravitate to 50 and the answer is pretty close to 50. That's called anchoring. What you just heard influences what you say and what your judgments are all about. That's a big bias. The other kind of biases you see is people have invariably huge impatience factors, meaning that you value that coffee right now a lot more than ten coffees tomorrow. So it's another factor, which is instant gratification is something people want to pay for and they pay for a lot and they will defer things like savings, as an example, as a result of that. You know you get into confirmatory biases, when you believe in something and you don't say you believe in it but it's implicit in what you're doing. When you go do analysis you search for the data that confirms what you believe and then you say I've got this data that shows this is right. Well, it turns out, well you were looking for it. So there are eight, nine, ten of these things, there are many of these things. It doesn't mean that somebody is doing something wrong, it's just the way we're wired sometimes and just the way we think. And the more you expose it the better off we're going to be as individuals to think about whether we should counter it or shouldn't counter it. At least we need to have that choice. [TRANSCRIPT TRUNCATED]
This is a short film (a fast paced preview our new book called "Trillions") by MAYA Design created to put some perspective on the invisible but fast approaching challenges and opportunities in the pervasive computing age. Want to know how we'll not only survive but thrive in Trillions? Pre-order our new book, it's a survival guide for the future.
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From phone records to credit card transactions and pacemakers to browser history, in a world where everything we do creates data, new questions and issues surrounding ownership and privacy are looming conversations. Rick Smolan discusses the power of big data, the dangers it creates, and the conversations we should be having.
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Photos from The Human Face of Big Data; Photos by Philip DeCamp, Christoph Morlinghaus, George Skadding, Jeff Minton, Lauren Fleishman, Jason Grow, Mark Webster, Etahn Miller.
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Netflix is a major player in the so-called "big data" game, as the success of programs like House of Cards demonstrates, but they don't envy larger companies like Google or Facebook for one simple reason.
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Transcript - So it's funny, big data has been kind of a cliché in Silicon Valley for the last few years: big data this, big data that. Big data is really one big mountain of garbage with little gems buried it in this tremendous trash heap, and you want to find those gems — you really want to find out what's going to make the experience better. So there are a lot of sophisticated machine learning algorithms that Netflix and other companies deploy to really figure out what are the gems that are going to make a better experience, and what's the rubbish that you want to separate out and push to the side? Once you find those gems, it doesn't make it a more alienated, machine experience — it actually makes it a more personal experience. It becomes much more about the individual member.
When I first got to Netflix we were looking at other companies that were doing personalization and leveraging the kinds of data they couldn't learn from. And one company that obviously wasn't competitive with Netflix was also doing some interesting things was Pandora, the music company. And Netflix is in Silicon Valley and they're up in Oakland, not too far away, and we're down in the South Bay. So we went up to - we had a meeting, a little powwow, this was many years ago, with Pandora. And they were really small then and Netflix was much smaller and we were just comparing notes. What was interesting about Pandora is Pandora had the Music Genome Project where they were tearing apart and deconstructing lots of music on all these different dimensions and trying to really understand the music. And I remember back in these days, and this was like ten years ago, they had their walls lined with CDs all over and they had a whole line of people in this cramped office with headphones on and they were listening to music with this big spreadsheet open and tagging everything about it.
At that's time at Netflix we were all about rating our titles on a one to five star system and we were very much using a lot of behavioral - a lot of algorithms around the behaviors of what users were doing and based on a lot of clustering techniques. We weren't really deconstructing the titles yet, we would get to that soon after — they weren't really deploying a lot of the collaborating filtering models that we were using on our algorithms. So we compared notes and we influenced each other and we only met a couple of times with them and were paying attention to what other companies were doing in terms of personalization. And based on these learnings, everyone kind of evolved across, it's not just Netflix, other companies that are trying to leverage big data to make it much easier to find something great to watch, great to listen to, great to read, great to buy, and figure out how to use, when to use human created data, a lot of metadata, a lot of deconstructing of what the material is people are watching or listening to or reading and so forth and how to use a lot of behavioral clustering data, what kinds of people are watching these kinds of shows and movies? What kinds of people are watching these or listening to these and so forth? Read Full Transcript Here: http://goo.gl/LPNkrK.
View full lesson: http://ed.ted.com/lessons/expl....oration-on-the-big-d
There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades - stimulating globalization of the internet along the way, whilst 'solving' their big data problem. Tim Smith plots CERN's involvement with big data from fifty years ago to today.
Lesson by Tim Smith, animation by TED-Ed.
The Economist asked thought leaders, entrepreneurs, and people on the streets of New York City: what is big data?
This video aired at our Ideas Economy: Information 2012 event in San Francisco, California on June 5th-6th 2012.
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Facebook halts AI experiment after chatbots created a secret language
Facebook has abandoned an artificial intelligence experiment after two of its robots began talking to each other in their own language.
The social media giant says researchers shut down the so-called chatbots because they wanted them to be able to speak to people.
But the move comes during heightened concerns about the direction of artificial intelligence.
Al Jazeera's Rob Reynolds reports from Los Angeles.
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Among the millions of real people tweeting about the presidential race, there are also a lot accounts operated by fake people, or “bots.” Politicians and regular users alike use these accounts to increase their follower bases and push messages. Science correspondent Miles O’Brien reports on how computer scientists can analyze Twitter handles to determine whether or not they are bots.
In a world where bots are programmed to perpetuate political agendas, how can one use this technology for altruism?
Warning signs existed before the Theranos scandal, but the media and clueless investors chose to ignore the facts for a fanciful fiction.
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Duolingo has launched a new chatbot feature, which should be the next best thing to texting with a real person who speaks French, Spanish, or German.
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A 19-year-old programmer built a chatbot designed to do one thing: overturn parking tickets.
MUSIC: ‘Something Wobbly’ by Broke for Free
VIDEO CLIPS:
Two chatbots talk and argue with each other.
https://www.youtube.com/watch?v=uBqiQ_Faj4Y
How to make chatbot for facebook messenger
https://www.youtube.com/watch?v=zfGSf3tBglw
#WelcomeToStanford
https://www.youtube.com/watch?v=0qHWub21h5c
BBC One - Inside Out London - Parking tickets
https://www.youtube.com/watch?v=ww9Qsh6rzpQ
Louie - Confusing Parking Signs [HD]
https://www.youtube.com/watch?v=sjaw1JTov80
SOURCES:
https://www.theguardian.com/te....chnology/2016/jun/28
http://www.theregister.co.uk/2....016/06/28/chatbot_ki
http://www.donotpay.co.uk/signup.php
http://venturebeat.com/2016/06..../27/donotpay-traffic
Chatbot Defeats Only Thing More Evil Than Chatbots: Parking Tickets | HowStuffWorks NOW
https://youtu.be/gQvmgFOFRXQ
Oct. 20 -- Last year Eugenia Kuyda lost her friend Roman in an accident. But she was determined not to lose his memory. She gathered all the texts Roman sent over his short life and made a chatbot – a program that responds automatically to text messages. Now whenever she is missing Roman, Eugenia sends the chatbot a message and Roman’s words respond.
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Here's quick look at chatbots, as demonstrated at developer conferences in 2016. Google I/O, Microsoft Build and Facebook F8 all demonstrated digital assistants that use natural language processing.
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In this CNET Instructional Film, learn what a bot is and how to use them in Facebook Messenger and other chat apps.
A chatbot called "Eugene Goostman" managed to pass the Turing Test, making it the first program to convince humans that it's human! What is the Turing Test, and what does this mean for artificial intelligence? Trace takes a look at the history of this test, and why some are skeptical that this computer actually passed.
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Read More:
Chat With Eugene Here: http://default-environment-sdq....m3mrmp4.elasticbeans
Computer allegedly passes Turing Test for first time by convincing judges it is a 13-year-old boy
http://www.theverge.com/2014/6..../8/5790936/computer-
"Eugene Goostman seems like a typical 13-year-old Ukrainian boy - at least, that's what a third of judges at a Turing Test competition this Saturday thought."
Computer passes 'Turing Test' for the first time after convincing users it is human
http://www.telegraph.co.uk/tec....hnology/news/1088483
"A 'super computer' has duped humans into thinking it is a 13-year-old boy to become the first machine to pass the 'iconic' Turing Test, experts have said."
What is the Turing test? And are we all doomed now?
http://www.theguardian.com/tec....hnology/2014/jun/09/
"The Turing test has been passed by a robot named Eugene. It may be time to pledge fealty to the machines."
First Turing Test success marks milestone in computing history
http://phys.org/news/2014-06-t....uring-success-milest
"An historic milestone in artificial intelligence set by Alan Turing - the father of modern computer science - has been achieved at an event organised by the University of Reading."
Turing Test Success Marks Milestone In Computing History
http://www.reading.ac.uk/news-....and-events/releases/
"The 65 year-old iconic Turing Test was passed for the very first time by supercomputer Eugene Goostman during Turing Test 2014 held at the renowned Royal Society in London on Saturday."
Alan Turing
http://www.bbc.co.uk/history/people/alan_turing
"Alan Turing was an English mathematician, wartime code-breaker and pioneer of computer science."
A Wager on the Turing Test: The Rules
http://www.kurzweilai.net/a-wa....ger-on-the-turing-te
"An explanation of rules behind the Turing Test, used to determine the winner of a long bet between Ray Kurzweil and Mitch Kapor over whether artificial intelligence will be achieved by 2029."
Loebner Prize 2014
http://aisb.org.uk/events/loebner-prize
"The Loebner Prize is the oldest Turing Test contest, started in 1991 by Hugh Loebner and the Cambridge Centre for Behavioural studies."
Watch More:
Will AI Destroy Us?
https://www.youtube.com/watch?v=Ud8-sUovZMI
TestTube Wild Card
http://testtube.com/dnews/dnews-264-strange-eating-disorder-ramen-addiction?utm_source=YT&utm_medium=DNews&utm_campaign=DNWC
The Future of AI
https://www.youtube.com/watch?v=gPg5y0Uug0I
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More than just another interface, the chatbot could be the biggest next big thing since the smartphone.
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You may have heard about bots and chatbots in the news. But what are they? Octie the robot explains the importance bots will have to every business.
Create a chatbot in minutes: http://octaneai.com
Learn more about bots: http://chatbotsmagazine.com
Talk to our team through our bot: http://m.me/octaneai
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Technology isn't all about bits and processors. It's the car with no driver, human organs printed in a lab and leisurely flights into space. It's the future and Engadget is here to tell you all about it.
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If you're not building a bot, you're already behind. Learn more: https://bit.ly/2YhUK1J
Chatbots, bots, build a chatbot, build a bot, what is a bot, what is a chatbot, future of marketing, chatbot marketing, artificial intelligence, facebook messenger marketing, messaging, how to create a chatbot, chatbots explained, marketing bots, customer service bots
If you’re not building a bot, you’re already behind.
The age of robots is now. And the more people interact with them, the more they'll realize the value of human-less interaction.
But ... what exactly is a bot?
A bot is a computer program that automates certain tasks, typically by chatting with a user through a conversational interface.
Bots plug into messaging apps -- apps that have even surpassed social media platforms in usage -- and play into a larger shift we’re seeing in consumer behavior.
People shop and buy in a world of immediacy. Messaging is how they communicate.
Having an app won’t cut it anymore. Today, half of smartphone users download a whapping zero apps per month. Bots meet users where they already are -- no app download or URL necessary.
That’s the superpower of bots: efficiency. There's no complicated phone menu or ill-informed service rep. By chatting in a familiar conversational interface, bots ask what they need to understand and solve a problem -- nothing more, nothing less.
Then, when bots are linked with a CRM they get even smarter, leveraging past conversations to personalize their responses to your unique situation and preferences.
At a time when app downloads, clickthrough rates, and email efficacy are all decreasing, bots offer businesses the opportunity to have one-to-one conversations at scale.
And for customers, a better way to interact with brands.
In this video, you’ll learn more about chatbots and how they're used. Visit https://www.gcflearnfree.org/t....henow/what-are-chatb for our text-based lesson.
This video includes information on:
• How chatbots work
• How chatbots can be used
We hope you enjoy!
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
Fred is a Baby Boomer mayor who's pretty sure he's got things figured out. Wife and 2.5 kids, big house in the suburbs, steady full-time job. Fred is living through a number of large-scale changes as our world becomes more digital, global, and sustainable. When the sharing economy comes along, he doesn't quite know what to make of it.
Sources:
- http://www.dailymail.co.uk/new....s/article-2125507/Am
- http://fortune.com/2016/03/13/....cars-parked-95-perce
- http://knowledge.wharton.upenn.....edu/article/how-gre
- http://www.pewresearch.org/fac....t-tank/2016/04/25/mi
- http://www.nielsen.com/us/en/i....nsights/news/2014/mi
http://www.wsj.com/articles/SB....10001424052702304830
- http://www.thenation.com/artic....le/elizabeth-warren-
- http://www.forbes.com/sites/bl....akemorgan/2015/06/01
- http://www.cnbc.com/2015/09/18..../millenials-drive-de
- http://blogs.wsj.com/economics..../2016/02/18/gig-econ
- http://www.telegraph.co.uk/fin....ance/jobs/12161558/H
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About this series: This Future of Sharing project sets out to answer the key question: How can we make the sharing economy work better for everyone? We’re going to spend 2016 in conversation with thought leaders who deeply understand the sharing economy and its potential, as well as the people who run and understand cities, including those wary of any excesses and rough edges.
About Reinvent: Reinvent gathers top innovators in video conversations to fundamentally reinvent our world.
Global Futurist Chris Riddell joined ABC News Talk About It to discuss the future of the sharing economy in 2016
Collaborative consumption (CC) is an increasingly prevalent form of exchange. CC occurs within a triangle of actors: a platform provider (e.g., Uber), a peer service provider (e.g., an Uber driver) and a customer. The platform provider's main role is matchmaking, so that a customer can access assets of a peer service provider.
In this video is based on an academic article in which three criteria to delineate CC from related constructs such as access-based consumption, sharing or renting are identified. The article introduces a literature-based framework explicating the roles of the actors in the CC triangle along three dimensions: motives, activities and resources and capabilities.
Read the article here: http://dx.doi.org/10.1016/j.jbusres.2017.05.004
or see more material on: www.sabinebenoit.com
In this video, you’ll learn more about the sharing economy. Visit https://www.gcflearnfree.org/u....sing-the-web-to-get- for our text-based lesson.
This video includes information on:
• An explanation of the sharing economy
• Examples of the sharing economy
We hope you enjoy!
Robert Reich explains how the sharing economy is hurting workers and what we can do about it.
Watch More: Working Families ►► https://youtu.be/WljOpe64kt8
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If you’ve ever taken a ride sharing service such as Uber or booked a room with AirBnB, you’ve already participated in the sharing economy. But you may not realize how sharing has extended to many different parts of our lives already, including health care, utilities and travel. Chief Content Officer Jason Hoch sat down with Chris Saad, Head of Product for the Developer Platform at Uber and Jeremiah Owyang, CEO and Founder of Crowd Companies at SxSW in Austin Texas recently to discuss what the future of the sharing economy has in store for us.
music: ‘Out of the Skies Under the Earth’ by Chris Zabriskie
VIDEO CLIPS:
GoPro Hero 3+ Time Lapse - Driving through NC, SC, GA
https://www.youtube.com/watch?v=ENCv8RYogsA
OpenTable UK Being Choosy TV ad - Peanuts
https://www.youtube.com/watch?v=RklKJbqzGWY
Connections @ Hilton Worldwide
https://www.youtube.com/watch?v=Q3HZeUF5W5Y
Uber and Docker
https://www.youtube.com/watch?v=8xWaDxhuayU
Learn the Uber Basics | Uber
https://www.youtube.com/watch?v=G8VjcZeuvmo
UBER Commercial
https://www.youtube.com/watch?v=ea5Woi9ePZU
Uber.com “Ride in style.” Commercial
https://www.youtube.com/watch?v=sZ7Lau6-2to
How Uber Moves Your City Forward with Innovation | Uber
https://www.youtube.com/watch?v=P2M0RD7bhYY
How the Sharing Economy is Changing the World | HowStuffWorks NOW
https://youtu.be/Fy-wks5kX1k
People these days are totally willing to share their homes, cars, seasonal clothing and more in what is called the sharing economy. But only 19% of the total U.S. adult population has participated in a sharing economy transaction. Megan Rose Dickey talks to Mike Curtis of Airbnb.
The Sharing Economy with collaborative economy expert Rachel Botsman. The sharing economy has grown rapidly in the last 5 years, and is now popularized by big players such as Airbnb and Uber. What steps need to be taken now to unlock its full social potential and to ensure it remains an economic model that empowers not exploits?
Watch Rachel Botsman, collaborative economy expert, in our latest RSA Spotlight - the edits which take you straight to the heart of the event! Loved this snippet? Watch the full replay: https://youtu.be/rmybVwtY554
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EM3 works with farmers who own equipment like tractors, harvesters and other mechanical implements by allowing them to ‘rent’ out their assets to help pay off the purchase or generate additional revenue.
Read more: https://techcrunch.com/2017/08/15/em3/
The “Sharing Economy” is a complex phenomenon that has disrupted industries and transformed how we live and work, but experts can’t even agree on what to call it. Lawyers, public policy experts, academics and workers weigh in to define this dynamic phenomenon and to discuss legal and regulatory issues that emerge as these platforms play an increasingly role in our society.
* * * * *
As always, the Federalist Society takes no position on particular legal or public policy issues; all expressions of opinion are those of the speaker.
RELATED LINKS
Regulating Rideshare: Uber & Lyft in Austin, TX
https://www.youtube.com/watch?v=1qeTNV4p_AA&t=24s
The Rise of the Sharing Economy
http://www.economist.com/news/....leaders/21573104-int
What’s Yours Is Mine: Against the Sharing Economy by Tom Slee review – the problem with Airbnb and Uber
https://www.theguardian.com/bo....oks/2016/apr/02/what
How Should Ridesharing Be Regulated?
https://www.cato.org/events/ho....w-should-ridesharing
The Whatchamacallit Economy
http://www.nytimes.com/2016/12..../16/opinion/the-what
Racism is built into sharing economy, and startups can do little about it
http://www.marketwatch.com/sto....ry/racism-is-built-i
CREDITS
Produced by:
- Tyler Lowe
- Matt Wood
Written by:
- Tyler Lowe
Director of Photography:
- Benjamin Gaskell
Edited by:
- Flatland
On-Set Director:
- Kirby Voss
Line Producer:
- JP Mandarino
Associate Producers:
- Samantha Schroeder
- Daniel T. Richards
2nd Unit DP:
- Matt Wood
Colorists:
- Flatland
Gaffers:
- Mark Belcher
- Chase Gibon
Assistant Camera:
- Matt Wood (1st Unit)
- Todd Nash (2nd Unit)
Production Assistants:
- Varvara Degtiarenko
- Lucy Augustine
- Louis Watt
- Michelle Millette
Music by:
- The License Lab
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Got lots of data? Machine learning can help! In this episode of Cloud AI Adventures, Yufeng Guo explains machine learning from the ground up, using concrete examples.
Associated article "What is Machine Learning?" → https://goo.gl/Dbxo6M
Qwiklabs → https://goo.gle/2YhJz5f
Watch more episodes of AI Adventures here → https://goo.gl/UC5usG
TensorFlow → http://tensorflow.org
Cloud ML Engine → http://cloud.google.com/ml-engine/
Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y
Don't forget to subscribe to the channel! → https://goo.gl/S0AS51
Microsoft researchers are at the forefront of machine teaching: an effort to help people without a machine learning background teach their systems to get better based on experience. Learn more about machine teaching: http://blogs.microsoft.com/next/?p=54083
CTO Mike Schroepfer explains
Machine Learning is one of the hottest new technologies impacting everything. Laurence Moroney meets with Joshua Gordon over coffee to talk about Machine Learning and his new show to help developers get started! P.S., in the video we used the word 'class' - really, it's a tutorial series, very informal. Check out the first episode here: https://goo.gl/RpvlJl
Watch more episodes of Coffee with a Googler here:
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Subscribe to the Google Developers channel at http://goo.gl/mQyv5L
Learn about the differences between deep learning and machine learning in this MATLAB® Tech Talk.
- MATLAB for Deep Learning: http://bit.ly/2Dl0jm4
Walk through several examples, and learn how to decide which method to use.
Learn more about Deep Learning: https://goo.gl/F8tBZi
Download a trial: https://goo.gl/PSa78r
The video outlines the specific workflow for solving a machine learning problem.
The video also outlines the differing requirements for machine learning and deep learning. You’ll learn about the key questions to ask before deciding between machine learning and deep learning.
The choice between machine learning or deep learning depends on your data and the problem you’re trying to solve. MATLAB can help you with both of these techniques – either separately or as a combined approach.
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Artificial intelligence and machine learning will eliminate millions of jobs. It’s inevitable.
And while many of us are willing to accept that there are jobs that will be replaced by AI in our lifetime, we still believe in the lasting power of our own work.
This is a mistake.
Conventional wisdom would have us believe that only the most routine of jobs are at risk, but this just isn’t the case. It’s not just trucking, assembly lines, and blue collar jobs. In fact, AI will be replacing and drastically altering many jobs that few would consider “routine.”
The future of AI job creation is one where we all could share in the value created by the machine laborers. Maybe that means fewer jobs, and the rise of job sharing. Maybe that means shorter work weeks, or basic incomes. Maybe it means no one ever having to do a job that they hate.
The question is this: will we be active participants in thinking about and creating this new world, or will we hold onto to a fading notion that somehow, magically our way of life will be safe?
Care about this conversation. It is the future, and it is being created right now.
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What is AI? What is machine learning and how does it work? You’ve probably heard the buzz. The age of artificial intelligence has arrived. But that doesn’t mean it's easy to wrap your mind around. For the full story on the rise of artificial intelligence, check out The Robot Revolution: http://hubs.ly/H0630650
Let’s break down the basics of artificial intelligence, bots, and machine learning. Besides, there's nothing that will impact marketing more in the next five to ten years than artificial intelligence. Learn what the coming revolution means for your day-to-day work, your business, and ultimately, your customers.
Every day, a large portion of the population is at the mercy of a rising technology, yet few actually understand what it is.
Artificial intelligence. You know, HAL 9000 and Marvin the Paranoid Android?
Thanks to books and movies, each generation has formed its own fantasy of a world ruled -- or at least served -- by robots. We’ve been conditioned to expect flying cars that steer clear of traffic and robotic maids whipping up our weekday dinner.
But if the age of AI is here, why don’t our lives look more like the Jetsons?
Well, for starters, that’s a cartoon. And really, if you’ve ever browsed Netflix movie suggestions or told Alexa to order a pizza, you’re probably interacting with artificial intelligence more than you realize.
And that’s kind of the point. AI is designed so you don’t realize there’s a computer calling the shots. But that also makes understanding what AI is -- and what it’s not -- a little complicated.
In basic terms, AI is a broad area of computer science that makes machines seem like they have human intelligence.
So it’s not only programming a computer to drive a car by obeying traffic signals, but it’s when that program also learns to exhibit signs of human-like road rage.
As intimidating as it may seem, this technology isn’t new. Actually, for the past half-a-century, it’s been an idea ahead of its time.
The term “artificial intelligence” was first coined back in 1956 by Dartmouth professor John McCarthy. He called together a group of computer scientists and mathematicians to see if machines could learn like a young child does, using trial and error to develop formal reasoning. The project proposal says they’ll figure out how to make machines “use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”
That was more than 60 years ago.
Since then, AI has remained for the most part in university classrooms and super secret labs … But that’s changing.
Like all exponential curves, it’s hard to tell when a line that’s slowly ticking upwards is going to skyrocket.
But during the past few years, a couple of factors have led to AI becoming the next “big” thing: First, huge amounts of data are being created every minute. In fact, 90% of the world’s data has been generated in the past two years. And now thanks to advances in processing speeds, computers can actually make sense of all this information more quickly. Because of this, tech giants and venture capitalists have bought into AI and are infusing the market with cash and new applications.
Very soon, AI will become a little less artificial, and a lot more intelligent.
Now the question is: Should you brace yourself for yet another Terminator movie, live on your city streets?
Not exactly. In fact, stop thinking of robots. When it comes to AI, a robot is nothing more than the shell concealing what’s actually used to power the technology.
That means AI can manifest itself in many different ways. Let’s break down the options…
First, you have your bots. They’re text-based and incredibly powerful, but they have limitations.
Ask a weather bot for the forecast, and it will tell you it’s partly cloudy with a high of 57. But ask that same bot what time it is in Tokyo, and it’ll get a little confused. That’s because the bot’s creator only programmed it to give you the weather by pulling from a specific data source.
Natural language processing makes these bots a bit more sophisticated. When you ask Siri or Cortana where the closest gas station is, it’s really just translating your voice into text, feeding it to a search engine, and reading the answer back in human syntax. So in other words, you don’t have to speak in code.
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The world is filled with things that most of us are able to understand and react to without much thought… a stop sign partially covered by snow is still a stop sign… a chair that’s five times bigger than usual, is still a place to sit. But for computers, the world is often messy and complicated. Google engineers and researchers discuss how machine learning is beginning to make computers, and many of the things we use them for (maps, search, recommending videos, translations), better. http://www.tensorflow.org
Google engineers and researcher (in order of appearance): Blaise Aguera Y Arcas, Greg Corrado, John Giannandrea, Peter Norvig, Jeff Dean, Geoffrey Hinton, Anna Patterson.
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Alexandra - Shepherding is one of the oldest professions in the world, but sheep farmers in New Zealand are finding innovative ways to bring the job into the modern era.
The use of drones is revolutionising the work life of farmers in the country.
Al Jazeera's Andrew Thomas reports.
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Aug. 23 -- Watch as Ross McNutt demonstrates how his aerial surveillance system works. See a shooting, follow the getaway car and learn how McNutt pieces together a theory of a crime network.
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The Everfly APSARA drone is an origami-like disposable drone made to deliver essential supplies in a humanitarian or disaster situation.
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This Drone is Designed to Save Lives Then Disappear | WIRED
Meet the drone pilots who are saving lives—not ending them. It’s a far cry from search and destroy.
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They’re performing with Lady Gaga at the Superbowl and taking over toy store shelves across the world. And our trials suggest they’ll help transform the mining industry too. Read our latest Prospects blog to find out more about how we’re using drones to reduce costs, boost productivity and improve safety across the business. http://www.bhpb.com/npDv30aY7K2
They never leave the ground—but these are the pilots of the future…
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A new initiative is combining drones, tidal studies and navigation technology to try and work out where the millions of tonnes of plastic we dump in the sea ends up.
The Plastic Tides project is mapping the journeys taken by rubbish such as plastic bottles before they wash up on our beaches.
Sky's Technology Correspondent Tom Cheshire reports.
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March 21 -- The World Drone Prix in Dubai was the first million dollar drone race, with the winning team taking home a cool $250,000. We meet the tech-loving thrill-seekers behind the sport who want to turn it into the next big thing. (Video by Austin Brown and Tom Gibson)(CORRECTION: An earlier version of this video incorrectly stated that a portion of the prize money was given to the winning team's sponsor, Tornado.)
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We took a break from CES 2017 and headed to the desert just outside the restricted airspace for Las Vegas to try out the "Ferrari of drones," UVify's Draco. Subscribe: https://goo.gl/G5RXGs
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In Tijuana, drones have become a powerful tool in cracking down on drug busts and catching migrants crossing the border. Now, they're moving forward with facial recognition software.
Could this become the new model of surveillance in the U.S.?
Delve into the technical and creative challenges faced by director GMUNK (AKA Bradley G Munkowitz) and his team of collaborators as they shoot a dramatic confrontation between a Holden Astra and a swarm of custom-built drones.
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Your neighborhood quadcopter probably doesn't have the ability to launch Hellfire missiles, but just saying the word "drone" conjures up images of flying, buzzing death. But what about drones' potential for saving lives?
We've seen how drones can be a crucial asset to search and rescue operations, but Iran's RTS Lab has taken an entirely new angle. RTS's Pars drone carries a payload of life preservers that can be delivered to a drowning swimmer far faster than a lifeguard. As we saw in testing in the Caspian Sea, the drone can also work at night, using bright lights, biothermal sensors, and a built-in camera to stream video to rescuers on shore.
The concept works well, and it's an excellent example of how powerful drones—which are cheaper and easier to use than just about any other aerial delivery vehicle—can actually be. Here in the US, where the FAA remains steadfast in its desire to squelch the nascent commercial drone industry, this Iranian drone built of Chinese parts sets an example of what can be done when we set our eyes to the skies to do good.
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That buzzing sound in your for-sale property is not the chatter of excited buyers; it is a helicopter drone whizzing over your dining table to film the places other real estate agents do not get to.
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Greg Crutsinger develops drone technology to help farmers struggling to grow produce in a world affected by climate change.
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Mary Anne Grady Flores, a 58-year-old grandmother of three, was sentenced to a year in jail after photographing an anti-drone protest outside a military base near her home. While she waits on appeal, Grady Flores and her fellow protestors speak on the dangers of drone warfare, the right to dissent, and what she’ll do next.
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Fast Company reporter Ainsley O'Connell on how drones are not only affecting warfare but the lives of their pilots.
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Police in the Netherlands are taking a unique approach toward finding illegal, and potentially unsafe, drones. They are the first in the world using eagles to hunt and catch them. The NewsHour Weekend's Christopher Booker has more.
How can a mechatronic design impact drones? Mechanical Engineer at Simplexity, Asa Weiss, discusses the concept of mechatronics, and the many ways it affects technology today. Visit us at http://www.simplexitypd.com
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Mechatronics is the collaboration of mechanical, electrical controls and software engineering. Let's use drones as an example. They're perfect because of their many interconnected systems. When everything is well-designed and meshes together smoothly, you get something that flies. It takes a lot of careful consideration to get this off the ground. For example, the mechanical could begin with the air frame. There are many considerations like weight, cost, strength and size as well as materials and other factors.
Good electrical design determines the correct size motors, corresponding speed controllers as well as the appropriate battery size and necessary electromagnetic interference protection. This is useful for GPS in radio communication.
Since quadcopters are inherently unstable, they require controls engineering to make sure they can balance. They're constantly measuring their angle and position and use control algorithms to change the motor speed and adjust themselves quickly and with minimum overshoot.
Software engineering is important to make sure everything can communicate with each other from the gyroscopes, the accelerometers, processing and out to the electronic speed controllers. For a Mechatronics system to function smoothly, each of these disciplines has to be considered in relation to one another. For more information and resources on Mechatronics design, visit our website at simplexitypd.com.
Simplexity provides engineering design services across a range of industries. Our "simpler is better" engineering approach reduces costs while improving the lifecycle of your product, saving you money in development, manufacturing and product sustainability. We understand the most important challenges which is why we have mastered cost reduction while maintaining the most innovative industrial, consumer, and biotech engineering solutions.
There are entrepreneurs all over the country who would love to start incorporating drones in their businesses. But there's a battle in the courts right now standing in their way. This made us wonder: what do these regulations look like to a drone?
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Raphael "Trappy" Pirker has been flying RC drones for years, but his insane stunts have recently caught the attention of the FAA. Now Pirker and Team BlackSheep are at the center of a lawsuit that could decide the future of personal and commercial drone use in America.
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From agriculture to construction, drones and their pilots are popping up everywhere.
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It's been compared to pod racing from Star Wars. And millions of dollars are being spent turning drone racing into a mainstream sport. ESPN is part of the mainstreaming.
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The film and video industry will never look the same, thanks to drones. Commercial use of drones is now prohibited, but there are signs that regulatory changes may be coming soon. The FAA has just granted exemptions to six filmmaking companies to use drones equipped with cameras.
Drone videos are already changing the way we see things.
"I think that drones are the most amazing innovation that cinema has seen since probably the Steadicam," director and photographer Randy Scott Slavin tells Business Insider.
While many people look at drones as a loud and expensive hobby, professional filmmakers like Slavin are using their drones to capture video from a unique perspective. After his aerial footage of New York City went viral, Slavin was inspired to launch the New York City Drone Film Festival, to celebrate the stunning works of countless other drone videographers.
"This is not a hobby anymore. This is a profession," Parker Gyokeres of Propellerheads Aerial Photography tells us. "This is a professional skill set that has taken us years to develop."
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This week’s Big Future takes a look at how the world will change as drone technology spreads, filling the world’s rooftops and skies.
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The drone revolution is over 100 years in the making. Here, we take an animated look at the past, present and future of unmanned aerial technology.
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Google X’s “Captain of Moonshots” says that Harry Potter-style Owl Post isn’t that far off, with drones enabling immediate delivery of products and goods to people when they need them. Subscribe: https://goo.gl/G5RXGs
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Take to the skies with a group of drone devotees who are advancing the art and science of personal aerial imaging. Let their passion and imaginations inspire your work.
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In this video series the Galactic Public Archives takes bite sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future.
In this entry we take a look at Drones. More specifically, we ask: "What the heck is a drone, anyway?"
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Interesting links for more information:
http://www.motherjones.com/pol....itics/2013/03/drones
http://intercepts.defensenews.....com/2013/05/the-orig
http://science.howstuffworks.com/reaper1.htm
https://en.wikipedia.org/wiki/....De_Havilland_Tiger_M
http://gizmodo.com/this-flying....-bomb-failure-was-am
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
The CRISPR-Cas9 tool makes genetic engineering cheap and easy, making it a powerful tool that has the potential to be abused.
See more at http://www.newsy.com/
Follow Katherine Biek: http://www.twitter.com/katherinebiek
Sources:
University of California, Berkeley
https://www.youtube.com/watch?v=avM1Yg5oEu0
Massachusetts Institute of Technology
https://www.youtube.com/watch?v=2pp17E4E-O8
MIT Technology Review
http://www.technologyreview.co....m/emtech/14/video/wa
U.S. Department of Energy
https://www.flickr.com/photos/....departmentofenergy/1
U.S. Department of Energy
https://www.flickr.com/photos/....departmentofenergy/9
U.S. Department of Energy
https://www.flickr.com/photos/....departmentofenergy/1
U.S. Department of Energy
https://www.flickr.com/photos/....departmentofenergy/1
CBC
https://www.youtube.com/watch?v=krxQWQ-b7WY
University of California, Berkeley
https://www.youtube.com/watch?v=8Ijr1ccYPtI
Sun Yat-sen University
https://www.youtube.com/watch?v=_3nkgMkiqP0
Protein & Cell
http://link.springer.com/artic....le/10.1007%2Fs13238-
House Committee on Science, Space and Technology
https://www.youtube.com/watch?v=7kU5EiT-0nY
TED Conferences
https://www.ted.com/talks/jenn....ifer_doudna_we_can_n
National Institutes of Health
http://www.nih.gov/about-nih/w....ho-we-are/nih-direct
National Institutes of Health
https://www.youtube.com/watch?v=7ITN0rfE5Yk
The National Academies of Sciences, Engineering, and Medicine
http://nationalacademies.org/g....ene-editing/Gene-Edi
Image via: L. Solomon and F. Zhang
http://www.eurekalert.org/multimedia/pub/51425.php
In this video Paul Andersen explains how the CRISPR/Cas immune system was identified in bacteria and how the CRISPR/Cas9 system was developed to edit genomes.
Do you speak another language? Help me translate my videos:
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Title: String Theory
Artist: Herman Jolly
http://sunsetvalley.bandcamp.c....om/track/string-theo
All of the images are licensed under creative commons and public domain licensing:
Adenosine. (2009). English: Artistic rendering of a T4 bacteriophage. The colours grey and orange do not signify anything, they are just used to illustrate structure. Created for Wikipedia. Retrieved from https://commons.wikimedia.org/....wiki/File:PhageExter
E. coli Bacteria. (n.d.). Retrieved February 17, 2016, from https://www.flickr.com/photos/niaid/16598492368/
Fioretti, B. F. Hallbauer &. (2015). English: Director, Max Planck Institute for Infection Biology, Department of Regulation in Infection Biology. Visiting professor The Laboratory for Molecular Infection Medicine Sweden MIMS; http://www.mpiib-berlin.mpg.de..../research/regulation Retrieved from https://commons.wikimedia.org/....wiki/File:Emmanuelle
Foresman, P. S. ([object HTMLTableCellElement]). English: Line art drawing of a chimera. Retrieved from https://commons.wikimedia.org/....wiki/File:Chimera_(P
Magladem96. (2014). English: Picture of DNA Base Flipping. Retrieved from https://commons.wikimedia.org/....wiki/File:Dna-base-f
project, C. wiki. (2014). English: Crystal Structure of Cas9 bound to DNA based on the Anders et al 2014 Nature paper. Rendition was performed using UCSF’s chimera software. Retrieved from https://commons.wikimedia.org/....wiki/File:Cas9_Ander
Providers, P. C. (1979). English: Photomicrograph of Streptococcus pyogenes bacteria, 900x Mag. A pus specimen, viewed using Pappenheim’s stain. Last century, infections by S. pyogenes claimed many lives especially since the organism was the most important cause of puerperal fever and scarlet fever. Streptococci. Retrieved from https://commons.wikimedia.org/....wiki/File:Streptococ
RRZEicons. (2010). English: zipper, open, close. Retrieved from https://commons.wikimedia.org/wiki/File:Zipper.svg
UC Berkeley. (n.d.). Gene editing with CRISPR-Cas9. Retrieved from https://www.youtube.com/watch?v=avM1Yg5oEu0
Gene-editing tool CRISPR is everywhere in the news, but what is it and could it eliminate disease?
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CRISPR: A game-changing genetic engineering technique
http://sitn.hms.harvard.edu/fl....ash/2014/crispr-a-ga
Have you heard? A revolution has seized the scientific community. Within only a few years, research labs worldwide have adopted a new technology that facilitates making specific changes in the DNA of humans, other animals, and plants.
CRISPR gene therapy: Scientists call for more public debate around breakthrough technique
http://www.independent.co.uk/n....ews/science/crispr-g
The technique, known as CRISPR, could revolutionise human gene therapy and genetic engineering because it allows scientists for the first time to make the finest changes to the DNA of the chromosomes with relative ease.
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To learn more about CRISPR, visit SynBio.info or
start editing the genome with www.deskgen.com
Learn about CRISPR - the revolutionary gene editing toolbox that is allowing scientists to find and replace DNA in any organism, and gain insight into how to treat diseases in new ways.
Genetic engineering is one of those topics that’s simultaneously exciting, confusing and potentially scary - but recently, a technique called CRISPR was shown to work as a genome engineering tool in human cells. That's right, with CRISPR, scientists have figured out how to make specific genetic edits in DNA, and can do it more easily than ever before. But does that mean all genetic diseases will soon be a thing of the past?
Which advance in science has captured your attention recently? Let us know in the comments below - maybe we will do a show on it!
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CRISPR -- a DNA editing tool revolutionizing the scientific world. CRISPR gives scientists and laboratories the ability to cut out malfunctioning DNA and replace it with functioning DNA. To do this, scientists must first program a specific RNA molecule and attach it to the protein Cas-9. When introduced to cells, this RNA/Cas-9 hybrid will seek out the malfunctioning DNA and cut it out, like a pair of molecular scissors. Scientists can then either insert the correct DNA, or the body can repair the cut itself.
CRISPR started as a basic research project in Dr. Jennifer Doudna's lab at UC Berkeley. She was studying how bacterial immune systems fight off invading viral DNA. Through this research Dr. Doudna and her team, collaborating with Dr. Emmanuelle Charpentier, turned that knowledge into what we now know as CRISPR, the world's most powerful DNA editing tool.
2010 NSF grant to Dr. Doudna: http://www.nsf.gov/awardsearch/showAward?AWD_ID=0950971&HistoricalAwards=false
For more information about CRISPR and the Innovative Genomics Initiative, visit: https://innovativegenomics.org/
Professor Andrew Sharrocks and Dr Antony Adamson talk about the uses of CRISPR and the ethical implications behind it.
We hear a lot about CRISPR these days... but what is it, exactly?
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Imagine you could edit a mouse’s genes to be resistant to Lyme Disease. The mouse would breed and evolution would take its course, leading to the extinction of the disease. That’s the vision for scientists developing CRISPR, technology that allows scientists to rewrite the code of life. William Brangham talks to Michael Specter who wrote about CRISPR for The New Yorker.
We spoke to Josiah Zayner of The Odin Lab and Ethan Perlstein of the Perlstein lab about their work and what CRISPR could mean for the future: http://engt.co/29liGET
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Researchers are experimenting with CRISPR, a powerful tool that can alter the DNA of humans. The implications have scientists excited, but nervous.
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CRISPR is a new area of biomedical science that enables gene editing and could be the key to eventually curing diseases like autism or cancer. WIRED has challenged biologist Neville Sanjana to explain this concept to 5 different people; a 7 year-old, a 14 year-old, a college student, a grad student and a CRISPR expert.
Find out more about Neville's work at:
http://www.sanjanalab.org
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Biologist Explains One Concept in 5 Levels of Difficulty - CRISPR | WIRED
Should we bring back the wooly mammoth? Or edit a human embryo? Or wipe out an entire species that we consider harmful? The genome-editing technology CRISPR has made extraordinary questions like these legitimate — but how does it work? Scientist and community lab advocate Ellen Jorgensen is on a mission to explain the myths and realities of CRISPR, hype-free, to the non-scientists among us.
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CRISPR stands for clustered regularly interspaced short palindromic repeats. This technology will now allow for DNA to be edited almost as easily as using a word processor. How does it work? A strand of RNA guides a CAS-9 protein to a targeted spot on the DNA. The DNA strands get precisely cut and the new sequence is added to the cell.
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Designer babies, the end of diseases, genetically modified humans that never age. Outrageous things that used to be science fiction are suddenly becoming reality. The only thing we know for sure is that things will change irreversibly.
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SOURCES AND FURTHER READING:
The best book we read about the topic: GMO Sapiens
https://goo.gl/NxFmk8
(affiliate link, we get a cut if buy the book!)
– Good Overview by Wired:
http://bit.ly/1DuM4zq
–timeline of computer development:
http://bit.ly/1VtiJ0N
– Selective breeding:
http://bit.ly/29GaPVS
– DNA:
http://bit.ly/1rQs8Yk
– Radiation research:
http://bit.ly/2ad6wT1
– inserting DNA snippets into organisms:
http://bit.ly/2apyqbj
– First genetically modified animal:
http://bit.ly/2abkfYO
– First GM patent:
http://bit.ly/2a5cCox
– chemicals produced by GMOs:
http://bit.ly/29UvTbh
http://bit.ly/2abeHwU
http://bit.ly/2a86sBy
– Flavr Savr Tomato:
http://bit.ly/29YPVwN
– First Human Engineering:
http://bit.ly/29ZTfsf
– glowing fish:
http://bit.ly/29UwuJU
– CRISPR:
http://go.nature.com/24Nhykm
– HIV cut from cells and rats with CRISPR:
http://go.nature.com/1RwR1xI
http://ti.me/1TlADSi
– first human CRISPR trials fighting cancer:
http://go.nature.com/28PW40r
first human CRISPR trial approved by Chinese for August 2016:
http://go.nature.com/29RYNnK
– genetic diseases:
http://go.nature.com/2a8f7ny
– pregnancies with Down Syndrome terminated:
http://bit.ly/2acVyvg
( 1999 European study)
– CRISPR and aging:
http://bit.ly/2a3NYAV
http://bit.ly/SuomTy
http://go.nature.com/29WpDj1
http://ti.me/1R7Vus9
Help us caption & translate this video!
http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Gene-editing technique CRISPR-cas works like a pair of scissors to cut DNA, inserting or reordering bits of genetic code with remarkable, science-fiction-like results. Subscribe: https://goo.gl/G5RXGs
In humans, the technology is being tested to battle cancer — by removing patients’ immune cells, editing them, and reinserting the weaponized cells into the body to hunt cancer.
One of the leading scientists who developed the technique is Jennifer Doudna, a biochemist at the University of California, Berkeley.
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Any molecular biologist will tell you that genetic engineering is tricky. But up until recently we might be witnessing a new age in human development.
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Sources:
http://www.nature.com/news/cri....spr-gene-editing-is-
http://www.nature.com/news/cri....spr-the-disruptor-1.
http://www.nature.com/news/bio....logists-create-more-
http://www.theatlantic.com/sci....ence/archive/2015/12
http://www.nature.com/nbt/jour....nal/v33/n9/abs/nbt.3
http://www.theatlantic.com/sci....ence/archive/2016/01
http://www.nature.com/news/crispr-1.17547
https://www.broadinstitute.org..../what-broad/areas-fo
http://sitn.hms.harvard.edu/fl....ash/2014/crispr-a-ga
http://www.yourgenome.org/fact....s/what-is-genetic-en
http://wyss.harvard.edu/static....files/newsroom/press
http://www.smithsonianmag.com/....innovation/kill-all-
https://www.jax.org/news-and-i....nsights/jax-blog/201
http://www.sciencemag.org/news..../2016/06/human-crisp
http://www.nature.com/news/chi....nese-scientists-to-p
http://www.nature.com/news/uk-....scientists-gain-lice
http://www.nature.com/news/fir....st-crispr-clinical-t
http://www.sciencemag.org/news..../2016/04/crispr-deba
http://www.sciencemag.org/news..../2015/04/chinese-pap
http://www.nature.com/news/gen....e-editing-method-tac
http://www.nature.com/nbt/jour....nal/v34/n1/full/nbt.
Images:
https://sites.tufts.edu/crispr/crispr-background/
https://en.wikipedia.org/wiki/....Anopheles#/media/Fil
A look at how CRISPR works, and why it's stirring scientific imaginations and Orwellian fears.
For more science from The Verge, check out this video about one of the biggest scientific discoveries in decades: https://www.youtube.com/watch?v=tlch-DWaQE0
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Episode 74: Rebecca Jarvis gets a look at one of Ford’s autonomous research vehicles at CES 2016. Plus, Ford President and CEO, Mark Fields, talks the future of autonomous cars and his plan to make sure everyone can have one.
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The Robocar, a fully autonomous electric racecar, recently debuted in Times Square, New York City. Watch how the Roborace team behind it imagine a new motorsport and how the Robocar might accelerate the development of the consumer autonomous car.
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In our last film, we explored how the introduction of autonomous, self-driving cars is likely to kill a lot of jobs. Many millions of jobs, in fact. But is it short sighted to view self-driving vehicles as economic murderers? Is it possible that we got it totally wrong, and automated vehicles won’t be Grim Reapers - but rather the biggest job creators since the internet?
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Music:
Crimson Fly - Huma-Huma: https://youtu.be/qpxhgby-ONI
Road Trip by Joakim Karud https://soundcloud.com/joakimkarud
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Interesting Links for More Information:
https://newsroom.intel.com/newsroom/wp-content/uploads/sites/11/2017/05/passenger-economy.pdf?cid=em-elq-26916&utm_source=elq&utm_medium=email&utm_campaign=26916&elq_cid=1494219
https://www.youtube.com/watch?v=FxYgdX2PxyQ
https://www.youtube.com/watch?v=KT_8-pjuctM
http://www.cnbc.com/2016/09/02..../driverless-cars-wil
Self-driving cars are pretty cool. Really, who wouldn’t want to spend their daily commute surfing social media, chatting with friends or finishing the Netflix series they were watching at 4 am the night before? It all sounds virtually utopian. But what if there is a dark side to self-driving cars? What if self-driving cars kill the jobs? ALL the jobs?
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Music:
Crimson Fly - Huma-Huma: https://youtu.be/qpxhgby-ONI
Big Wheel - Silent Partner https://youtu.be/0Ez4nMyr05Y
◈
Interesting sources & links for more information:
http://www.cnbc.com/2016/09/02..../driverless-cars-wil
https://www.socialtables.com/b....log/hospitality/self
http://www.insurancejournal.co....m/news/national/2015
https://www.forbes.com/sites/p....atricklin/2016/04/25
http://www.latimes.com/opinion..../op-ed/la-oe-greenho
http://www.cnbc.com/2017/05/22..../goldman-sachs-analy
https://www.thestreet.com/stor....y/14145541/1/goldman
http://www.cnbc.com/2016/09/02..../driverless-cars-wil
https://www.forbes.com/sites/t....imworstall/2016/10/1
http://www.newsweek.com/autono....mous-cars-transform-
Self Driving Cars and Ethics. It’s a topic that has been debated in blogs, op-eds, academic research papers, and youtube videos. Everyone wants to know, if a self-driving car has to choose between sacrificing its occupant, or terminating a car full of nobel prize winners, who will it pick? Will it be programmed to sacrifice for the greater good, or protect itself - and its occupants - at all costs? But in the swirl of hypothetical discussion around jaywalking Grandmas, buses full of school-children, Kantian Ethics and cost-maps, one crucial question is being forgotten:
What about the Squirrels?
What is your take on the ethics of driverless vehicles? Should programmers attempt to give vehicles the ability to weigh moral problems, or just vehicles only have the aim of self-preservation?
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Music In this film:
Road Trip by Joakim Karud https://soundcloud.com/joakimkarud
Music provided by Audio Library https://youtu.be/vpssnpH_H4c
Title: Burnt Spirit
Artist: Kevin MacLeod
Creative Commons - Attribution 4.0
incompetech.com
Title: Unholy Knight
Artist: Kevin MacLeod
Creative Commons - Attribution 4.0
incompetech.com
And So It Begins by Artificial.Music https://soundcloud.com/artificial-music
Creative Commons — Attribution 3.0 Unported— CC BY 3.0
Music provided by Audio Library https://youtu.be/JpoEFiAJdxo
Sources and Interesting Articles:
https://www.wired.com/2014/05/....google-self-driving-
http://www.dmv.org/how-to-guides/wildlife.php
http://thechronicleherald.ca/w....heelsnews/50854-do-y
http://www.pipint.com/us/no-ha....rm/animals-in-the-ro
http://www.southcoastregister.....com.au/story/1017680
https://patch.com/connecticut/....wilton/suicidal-squi
http://www.newyorker.com/humor..../daily-shouts/additi
http://www.chicagotribune.com/....news/ct-driverless-c
http://www.smithsonianmag.com/....innovation/will-driv
https://www.nytimes.com/2017/0....3/02/automobiles/whe
https://www.inverse.com/articl....e/22167-driverless-c
Tesla has just launched its new self-driving semi truck, and other companies like Google and Volvo are hot on their tails in the self-driving automobile industry. But how do these cars actually work?
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Soon, we’ll all be Knight Rider. You know, the main character on that 80’s TV show of the same name about a crime fighting hero and his talking car. Crazy, you say? Well, we live in a crazy world: a place where the automobile is finally automated and the self-steering steering wheel could be just within our figurative grasp.
We don’t know what the future holds, but we do know that previous generations had high hopes for what lay ahead. If you were to look at World’s Fairs and tech expos of 100, 50 and even 25 years ago, the industries of the past thought we’d be much further along than we are now. Just watch reruns of The Jetsons and you’ll see we’re nowhere near the flying cars and floating cities imagined by the animators of the 1960’s. But that doesn’t mean we haven’t taken technology insanely far in the time since the last industrial revolution. As a new period of massive change is upon us, it’s hard to really notice the huge advances occurring as we speak, from the tall cityscapes developing over our heads to the inner-data-spaces being explored by the phones in our pockets.
Sure, it’s scary. This technology could take away jobs from drivers and give machines more power than some ever thought possible. Even so, it’s interesting to see what’s actually true and what about these technological wonders has been exaggerated. Take off your blinders and let TheHub be your GPS as we guide you to the real story. This Is How Self-Driving Cars Actually Work.
Autonomous Cars Of The Future
deep learning and self driving cars http://www.mobilegeeks.com/art....icle/audi-showed-fut Autonomous Drive is here and I’m going to take a look at the intelligence behind it and what part AI & Deep Learning Play.
Let’s start with how an autonomous car sees. We’ve got laser sensors and a camera on the front, radar sensor in the rear, a top down camera and a big computer in the trunk so all of this visual data can be put together and the car can figure out what to do.
Artificial Intelligence is human intelligence exhibited by machines and it’s been around since the 1950s, but until recently we didn’t have enough data to train the machines or the compute power to process that data. Affordable Compute is being driven by Nvidia who changed the game with their programmable GPUs which can process enormous amounts of data simultaneously. AI & deep learning are key technologies in piloted drive, we can find characteristics of this on the road today when it comes to object and image recognition and collision avoidance.
But if we really want cars to drive truly autonomously the car is going to need to learn on it’s own and have the ability to quickly resolve complex situations. Today I’m visiting with Audi to learn more about their piloted drive system. Wanting to understand more about how Deep learning applies to piloted drive I checked out the model vehicle Q2 deep learning concept. The car has developed strategies to learn a number of tasks like parking. At first the algorythm learns on the computer parking is simulated with several million repetitions, in deep reinforcment learning positive results are rewarded with a high score, the error values decrease significantly. The sensors on the model car are the same what’s appears on a full size car, like Jack, Audi’s piloted drive A7.
Even though this is my first time driving in an Autonomous car, I trust it completely, my biggest problem was I didn’t know what to do with my hands! On my second drive I was joined by Dr Klaus Fervine who really go into explaining Deep Learning & piloted drive.
Meet the ancestors of self-driving cars.
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Experts attending SxSW 2016 agree that autonomous cars will be here soon. But you may never get to own one.
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VIDEO CLIPS:
A First Drive
https://www.youtube.com/watch?v=CqSDWoAhvLU
Hyundai Genesis - Driverless Car Convoy
https://www.youtube.com/watch?v=fEZhGKi5F3g
Autonomous long-distance drive - Mercedes-Benz original
https://www.youtube.com/watch?v=CKqJccK_EkM
NAVYA ARMA Fleet on the open-road in Bordeaux (FR) Street views
https://www.youtube.com/watch?v=RwX7HTFHB8w
Self-Driving Car Test: Steve Mahan
https://www.youtube.com/watch?v=cdgQpa1pUUE
Gone Trucking Time lapse overload
https://www.youtube.com/watch?v=SRpsy7EW79A
Airplane: Unloading and Loading (Complete)
https://www.youtube.com/watch?v=Yk0exPiDfu0
Autonomous Cars Are Coming And You Can’t Have One | HowStuffWorks NOW
https://youtu.be/RsftP3_g89U
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Machines could take 50% of our jobs in the next 30 years, according to scientists. While we can’t predict the future, we can imagine a world without work – one where those who own the tech get rich from it and everyone else ekes out a living, propped up by an increasingly fragile state. Meet Alice, holder of the last recognisable job on Earth, trying to make sense of her role in an automated world.
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How could emerging technologies transform the way we do scientific researching and our education system 5-10 years in the future? Watch this futuristic concept video by iScience+ and Microsoft to find out.
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Release Nov, 2015. Remastered April, 2017.
Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors. But how does it work? In this animation we take a look at how statistics and computer science can be used to make machines that learn.
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Intelligent machines are no longer science fiction and experts seem divided as to whether artificial intelligence should be feared or welcomed. In this video I explore a broad range AI research while attempting to envision a future where man and machine can coexist.
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Why some say driverless cars won't just change the way we commute, but the way we live.
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The son of two truckers, Robert Kalista has driven trucks since the 1980s. Now this most American of industries seems to be in line for automation.
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THE AGENDA explores the defining questions of our time and seeks out the stories, solutions and the personalities who might just hold the answers. Discover the mould-breakers experimenting with new ways to approach some of the modern world's most fundamental issues; find out what happens when bold ideas and real life collide, and meet the leaders whose thoughts and actions are themselves helping to shape the agenda.
Series One of The Agenda: People Power gets to grips with the rise of populism and what lies behind it.
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"CBS This Morning" is launching a new partnership with LinkedIn called "Work in Progress" to explore the future of jobs and issues facing the American workforce. Technology that is available today could automate 45 percent of the jobs that people are paid to do across all occupations. Tony Dokoupil reports.
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It's not just basic tasks anymore: Computers can now do work once deemed possible only by humans. And in some cases, the computers are doing it better. In an economy driven increasingly by intelligent automation, which jobs will survive? Hari Sreenivasan reports.
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Robot co-workers and artificial intelligence assistants are becoming more common in the workplace. Could they edge human employees out? What then?
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The Future of Your Job in the Age of AI | Robots & Us | WIRED
March 9 -- Today’s dairy farm is a far cry from what ads and movies would have you believe. Cows go to robotic milking stations on their own, where they are identified, milked, and sent back out to the barn until the next milking. They are even fed by a Volkswagen-sized robot called the Vector. All this means a dairy farm of 200 cows can be easily run by four people. Bloomberg's Sam Grobart visited Sunny Glade Farm in Canada where robots handle most of the work and the cows like it just fine. (Video by: Brandon Lisy and Justin Beach)
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A truck carrying 50,000 beers spent two hours driving itself down a Colorado highway.
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Uber's Self-Driving Truck Makes Its First Delivery | WIRED
Staff Writer: Alex Davies
Automation is eliminating jobs for factory workers and Uber drivers—will your morning fix soon come from a precision caffeine machine? WSJ's Geoffrey A. Fowler tastes the new robot lattes at San Francisco's Cafe X. Photo/Video: Emily Prapuolenis/The Wall Street Journal
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CNH's Case IH concept autonomous tractors could manage farms automatically and make farming greener. It's a driverless tractor concept where a farmer could remotely run several machines at once.
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Now open in Seattle! Amazon Go is a new kind of store featuring the world’s most advanced shopping technology. No lines, no checkout – just grab and go! Get the app at http://amazon.com/go
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Artificial intelligence is coming. And it's coming for our jobs (really). Truck drivers. Construction workers. Doctors. Even 39% of the legal aid workforce is set to be AI by 2020, according to Forbes. But there's a certain sector... and more importantly a certain skill... that robots and AI can never learn: how to inspire. Andrew McAfee uses the example of a girl's soccer team, positing that it will take robots a truly staggering amount of computing power for AI to even understand what rivalry is, let alone the intricacies of interpersonal communication required to lead a team to do their best work. It's a great watch, so click play and sit back.
Andrew McAfee's latest book is Machine, Platform, Crowd: Harnessing Our Digital Future.
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Transcript: My coauthor Erik Brynjolfsson and I are both at MIT, and we have a colleague at MIT who said something that really helps me understand some of the last human work that I think is ever going to be automated by even really sophisticated technology.
Our colleagues name is Deb Roy. He's at the media lab. And he points out that we humans are incredibly deeply social creatures, we're just a social species. And you say okay so what? So are ants, so are honeybees, so are chimpanzees.
Deb's point is that the nature of human social interaction involves some really deeply rooted social drives that don't appear to be present in any other animal. We came across a great quote when we were writing Machine Platform Crowd from a sociologist or a primatologist who said, “Look, you will never, ever see two chimpanzees carrying a log." That notion of cooperation is absent from even our closest nonhuman relatives.
So that gives me a whole new way to think about the kind of work that's most innately deeply human, it's the work that taps into our social drives. And those drives are both positive—there’s solidarity and pride and compassion for other human beings—and they're negative—they can be envy, they can be shame, they can be jealousy, they can be antipathy towards some kind of other group out there—but we have these drives they are very, very deep, they're very strong and they're kind of hard to fool with technology.
So there are a lot of jobs out there that tap into, that makes use of, that try to harness those social drives. And one of my favorite examples of a job that we don't think of as this incredibly elite job or this incredibly prestigious job but a job that is very unlikely, I believe, to be replaced by technology anytime soon is just a girl's soccer coach.
And that girl's soccer coach may or may not be a strategic genius about the game of soccer, but what that person can do, if they're any good at their job, they can motivate a group of girls to come together to overcome rivalries and jealousies and different kinds of pettiness and play together as a team. They can teach the value of some of those social drives like solidarity. They can help some girls who are natural leaders but might be going through a difficult period in their lives get past that and assume the roles that they're going to be good at. They can just deal in this incredibly rich mix of social things that are going on.
Let's say we could build a computer that could figure out all the different social things that are happening among a group of twenty-five 12-year-old girls. I think that computer is actually a long way off, but let's say we can even build that computer. Would that computer, would that robot be able to motivate those girls, draw them together, tease out what each is really good at, get them to overcome fatigue and self-doubt and all these things, realize if they were having problems in the rest of their lives and how to help them through that? Again, one thing I've learned with technology is “Never say never.” That automatic soccer coach feels like it's a long, long, long way away from me.
So if I take that example and I project it out there are a lot of people who do some work that feels a lot like that and those are teachers, those are managers, those are folk who might be taking care of our more vulnerable populations and I think about the very young, the sick, the elderly, the infirm.
There are a lot of those vulnerable people out there, and because of the richness of our social lives and our social drives I just don't see anyone, even really great innovators, coming up with technologies that could just substitute for the people who are currently doing those very, very social jobs.
A brief history of technological progress and why it's not necessarily a bad thing
This episode of Economics in Plain English tackles the pervasive fear that technology is making humans (or at least human work) obsolete. How long before the robots take over the jobs we do today -- and is it time to panic? Not just yet, senior business editor Derek Thompson explains in the video above. Decades of film footage from the Prelinger Archive illustrate the steady march of progress in America, from farms to factories and beyond, all thanks to technological innovation. Machines have been doing more and more of our work for us since the industrial revolution, and that's not a bad thing.
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Automation in the Information Age is different.
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The Rise of the Machines – Why Automation is Different This time
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Today, we're going to combine the artificial neuron we created last week into an artificial neural network. Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning. Neural networks are really powerful at finding patterns in data which is why they've become one of the most dominant machine learning technologies used today.
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Today we’re going to teach John Green Bot how to tell the difference between donuts and bagels using supervised learning! Supervised learning is the process of learning WITH training labels, and is the most widely used kind of learning with it comes to AI - helping with stuff like tagging photos on Facebook and filtering spam from your email. We’re going to start small today and show how just a single neuron (or perceptron) is constructed, and explain the differences between precision and recall. Next week, we'll build our first neural network.
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Artificial intelligence is everywhere and it's already making a huge impact on our lives. It's autocompleting texts on our cellphones, telling us which videos to watch on YouTube, beating us at video games, recognizing us in photos, ordering products in stores, driving cars, scheduling appointments, you get the idea. Today we're going to explain what AI can (and can't) do right now and explain how we got to where we are today.
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Welcome to Crash Course Artificial Intelligence! In this series host Jabril Ashe will teach you the logic behind AI by tracing its history and examining how it’s being used today. We’ll even show you how to create some of your own AI systems with the help of co-host John Green Bot! We’ll also spend several episodes on an area of AI known as machine learning which has skyrocketed in popularity in recent years. AI is everywhere right now and has the potential to do amazing things in our lives. But there’s also great potential for peril, which is why we believe it is more important than ever that developers, and non-developers alike, understand AI.
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Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
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MBA, business analysis course, when you're trying to grapple with user demands and market changes, it can be difficult to mentally zoom out and assess your organization's operations. business process modeling helps you see the big picture by allowing you to translate your business processes into easily understood pictures.
in this video tutorial, we walk you through the most widely used business process modeling diagrams—context, functional flow, cross-functional flow, and flowchart—and explains the purpose of each one.
we share unique features, explains how to use that technique to create a diagram, and points out how to avoid common pitfalls. we also pull it all together by comparing process diagrams to help you determine which diagram you should use to document your organization's business process. this video tutorial topics include: using common modeling tools, determining when to use a modeling diagram, avoiding the pitfalls associated with each diagram, creating diagrams, and leveraging key stakeholders.
This video introduces Logistic Regression, a very popular predictive modeling technique which finds its strong foundation in Statistics, and is widely used in solving the classification type problems.
As always, we have tried to use as less technical terms as possible, so that those interested in the subject can relate to it first in the intuitive sense, and then also find motivation to learn more on this topic.
Happy Learning!
This is an introductory video on the simplest yet most powerful predictive modelling approach i.e. the Linear Regression. We have put a deliberate effort to limit it to the conceptual level and not to go after insanely long formulae and calculations.
In short through this video you learn what you should definitely know, plus, it should motivate you to learn further.
Happy Learning!
In this video we are introducing a very important part of inferential statistics known as Hypothesis Testing. When referred through books alone, this topic often leaves people confused. Therefore, we are giving it a fair attempt to simplify it for our viewers.
This video introduces a lot of important terms which are repeatedly talked about while dealing with the data in scientific terms.
Please like, share, and subscribe as it motivates us to continue creating such videos.
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This video introduces the concept of correlation between two continuous variables. Correlation is a simple yet very important topic. This video clearly outlines the topic and covers the important takeaways with proper explanation.
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In this video we cover a very important and interesting topic called Central Limit Theorem. We have explained it with the help of a simple example which should help you relate to it a little better.
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In this video we introduce most important of all distributions i.e. the normal distribution, and a special case of normal distribution family - standard normal distribution. We also help you associate with the concept of continuous and discrete random variables, probability density function and area under the curve.
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This video covers the very popular and often daunting topic of Probability, Bayes' Theorem.
Let's face it, probability is very simple till the time it revolves around the typical scenarios, but the moment it goes to conditional probability and especially the Bayes' Theorem, people often lack conceptual clarity. Here is an honest attempt to simplify it for all those who are willing to understanding it.
This video is the third video from introduction to the Probability Theory series. It covers conditional probability, dependence & independence of events. It is intended to help people who are beginners. We have used very simple examples to help you visualize the theory from application perspective.
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This video further extends our simple introduction to the Probability Theory. It covers usage of Contingency Tables for solving Probability related problems. It is intended to help people who are beginners. We have used very simple examples to help you visualize the theory from application perspective.
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This video provides a simple introduction to the Probability Theory, and some basic concepts associated with this topic. It is intended to help people who are beginners. We have used very simple examples to help you visualize the theory from application perspective.
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This video covers the Interquartile Range, and explains how it is different from Range and Standard Deviation. Towards the end we touch upon clear statistical boundaries that help us identify the outliers.
This video covers the Measures of Dispersion - Range and Standard Deviation. With the help relevant examples, we have touched upon the concept as to how standard deviation is derived. Lastly the difference between Population and Sample standard deviation has been clarified.
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This video covers the measures of central tendency - mean, median, and mode with the help relevant examples. We have also covered when the median should take preference over the mean.
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This video on Data Analytics Life-cycle gives you a closer look into the Data Analytics process flow i.e. how in a step by step logical manner a Data Analytics project is approached. This is a simple overview where we have used examples from day to day life.
Most important takeaway here is the thought process that it is not about the technical knowledge alone, but more about the practical and logical thinking that makes one successful in this field.
This video is meant for individuals who are yet to take their first step into the emerging field of Data Analytics. We have tried to cover various aspects associated with the skill set, placement and salary expectations, basic definitions and wide applications of Analytics.
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Lecture Starts at: 8:25
Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation where many of the tools in the analyst's tool belt (e.g., regression) aren't ideal for the task. Despite these challenges, proper analysis of business data represents a fundamental skill required of Business/Data Analysts, Product/Program Managers, and Data Scientists. At this meetup presenter Dave Langer will show how to get started analyzing business data in a robust way using Excel – no programming or statistics required!
Dave will cover the following during the presentation:
• The types of business data and why business data is a unique analytical challenge.
• Requirements for robust business data analysis.
• Using histograms, running records, and process behavior charts to analyze business data.
• The rules of trend analysis.
• How to properly compare business data across time, organizations, geographies, etc.Where you can learn more about the tools and techniques.
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In this video we will be learning the difference between a business analyst and a data analyst. Business analyst vs data analyst, is there really that much of a difference. Tune in now...
► Full Video on Business Analyst Job Description
( https://youtu.be/7pziTBpej3o )
► Top 4 Best Laptops for Data Analysts
( https://youtu.be/Vtk50Um_yxA )
► Best Place to Learn! Edureka ( http://bit.ly/2pjflPx )
Here are some questions I get about this subject:
- What is the difference between a business analyst and a data analyst?
- What is the difference between business analytics and data analytics?
- What is the job description of a business analyst?
- What is the job description of a data analyst?
- What is the role of a business analyst?
- What is the role of a data analyst?
- Can you tell me about a Business Analyst Vs a Data Analyst?
- What does a data analyst do?
- What does a business analyst do?
Business Analyst and Data Analyst share similar roles. The business analyst stands out in his/her ability to specialize in business specific tasks. Whereas the data analyst is more advanced in the official practices of data analytics.
Let's take a look at the difference between Business Analyst and Data Analyst
1 ) Business Analyst
Business Analysis has risen in the past decade as a key component to any successful company. As the business goals continue to change with the ever-changing needs of the consumer it can often be very difficult to keep up with the change. How does a business navigate their market and discern pop-culture flashy trend versus and real shift in the market place the will have long term impact on the companies success.
2 ) Data Analyst
The role of a Data Analyst has received a lot of attention lately. It is truly a buzz word in tech, business and even household conversation I have been having recently. People are starting to realize the shifting job market and they realize they need to make a move, and fast! So, let's define the role of a Data Analyst.
The main reason that the role of a Data Analyst differs from that of a Business Analyst is specialization. Let's create another avatar
Data Analyst Avatar:
- Higher Proficiency in "R" or Python Programming Languages.
- Deep Understanding of Data Analytics Tools.
- Hadoop
- Tableau
- Data Cleaning
- Couldera
- MongoDB
- There are many more but you get the idea...
- Able to extract, clean/scrub, and process LARGE sets of data.
- Higher level of expertise in the technical aspects of Data Analytics
Business Analyst Vs. Data Analyst
The role of a Business Analyst and a Data Analyst is similar in nature. The key to understanding the difference is their specific niche expertise.
1 ) The Responsibilities: A business analyst will be in charge of leadership, specifying the research, and informing each part of the data process (communicating between laymen and the data experts. A Data Analyst has a deeper understanding of the Data Analytics, retrieve data more efficiently, and create automated processes because of their higher level of programming abilities.
2 ) Income differences: As in most careers you will be rewarded with your ability to exemplify specialized skills. The Data Analyst will earn a slightly higher wage according to glassdoor est.
Data Analyst: $76k
Business Analyst: $70k
*Average Salary Based on the Entire USA
3 ) The specific skills required for each speciality defines the role of the job. Business Analysts will be required to have a working knowledge in data science as well as good communication skills, critical business thinking, ability to negotiate, manage projects, and conduct one on one interviews. While it would be good for a Data Analyst to practice some of the skills required for the Business Analyst it will not be a necessity to land a job as a Data Analyst. The Data Analyst role will focus on a deep knowledge of data science, the ability to extract and analyze data with a higher proficiency, and automate data extraction processes via the stronger knowledge of coding abilities.
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In an era of Smarter Analytics, it is imperative that businesses leverage the massive quantities of data available to them. In order to remain competitive, data must be transformed into insight and integrated into business processes.
Connect w/ Simon Thomas at http://www.linkedin.com/pub/simon-thomas/1/228/45
Big Data & Analytics is a great opportunity for finance to bring more value to business. How companies can address this challenge?
https://www.capgemini.com/consulting-fr/
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This Edureka video on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career.
Below topics are covered in this video:
1:05 - Who is data analyst, data engineer and data scientist?
2:32 - Roadmap
3:48 - Required skill-sets
5:34 - Roles and Responsibilities
7:16 - Salary Perspective
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This is an introduction to business analytics... Interested in building your analytical skills? Microsoft Excel can be a key component of that. If you want, you can use the following link to enroll in my $10 course, "Become a Microsoft Excel Wizard in 1 Hour": https://www.udemy.com/microsof....t-excel-in-just-1-ho
مساء الخير
ازيكم
زي ما وعدتكم المرة اللي فاتت ان شاء الله المرة دي حنتكلم عن الفروق بين مجالات مسمياتها قريبة قوي من بعض و اللي هي
Big Data
Data Analysis
Data Science
و حنحاول ندي نبذة عن كل واحد فيهم و ايه المهارات المختلفة اللي محتاج تعرفها علشان تبتدي في المجال ده.
ايه هو ال Big Data؟
يمكن في الفترة الأخيرة مصطلح ال Big Data كان عليه دوشة كثير بالذات لما عمرو أديب قال تعريف عجيب ليه أظهره كأنه حاجة شريرة أو سيئة, و طبعاً التعريف ده للأسف ما كانش ليه أي علاقة بالواقع.
ال Big Data في النهاية هو مجال هندسي من مجالات هندسة البرمجيات, بيهدف في الأساس لبناء أنظمة تقدر تتعامل مع حجم البيانات الهائل, و لو أخدت بالك احنا هنا ما قلناش نوع التعامل ده ايه, احنا هنا بنتكلم في أساس أي تعامل مع البيانات و اللي بيبتدي عادة بالتخزين, و الأرشفة و البحث و القدرة على انك تعمل عمليات عليها. يعني علشان نقرب المفهوم, قاعدة البيانات اللي احنا كلنا متعودين عليها زي mySQL, PostgreSQL, SQL Server في النهاية بتخزن, و تفهرس و تتيح وسائل للتعامل مع البيانات نفسها, و ده نفس اللي بتعمله ال Big Data Systems برضه, لكن الفرق الأهم هو ان حجم البيانات ضخم جداً, و بالتالي البيانات دي مش متخزنة على سيرفر واحد مثلاً, بل ممكن تبقى عشرات بل مئات الآلاف من السيرفرات اللي كلها بتساهم في بناء نظام ال Big Data بتاعك.
من أشهر أنظمة ال Big Data و اللي يمكن أغلب الناس اللي في المجال ده بتستخدمه, هو مجموعة تقنيات Apache Hadoop و زي ما أكيد أخدت بالك اني قلت مجموعة تقنيات, و ده لأنه Hadoop ده تقدر تقول كده انه مظلة لمجموعة كبيرة جداً من التقنيات اللي كل حاجة فيها بتعمل وظيفة معينة و بتساعدك في سيناريوهات معينة.
يعني مثلاً, أول حاجة غالباً حتحتاجها في التعامل مع أي بيانات, هو انك تخزنها و تنظمها في حاجة زي ال File System اللي على جهازك, و هنا بيجي دور أول تقنية و هي HDFS و ده اسم ال File System بتاع Hadoop و اللي يعتبر القاعدة الأساسية اللي بتني عليها كل التقنيات التانية, و ده اللي بيسمح بتخزين البيانات و الحفاظ عليها عن طريق ال Redundancy و يديلك abstraction بحيث ما تحتاجش تعرف تفاصيل كثير عن ازاي البيانات و فين البيانات متخزنة او على أي أجهزة
بعد ما خزنت البيانات, حتحتاج طريقة تقدر تكتب بيها برامج تشتغل على البيانات دي, و اللي هو بنسميه Programming Model, و ال Programming Model اللي بتستخدمه في ال Big Data يمكن اشهرهم على الاطلاق هو MapReduce و ده اللي بيخليك تقدر تكتب برامج, طبعاً ده موضوع كبير لوحده.طبعأً Hadoop فيه مكونات أساسية أكثر من كده بكثير, زي ZooKeeper و Yarn و فوق ده كله فيه تطبيقات مشهورة زي Hive و اللي بتخليك تقدر تعامل البيانات اللي على Hadoop كأنها قاعدة بيانات و تكلمها بلغة شبه ال SQL جداً اسمها HQL, و حاجات تانية زي Hbase و غيرها كثير جداً من التقنيات اللي لا يسع المجال دلوقتي اننا نتكلم فيها.
الفكرة لو بصيت على ده كله, حتكتشف انها في النهاية كلها ادوات و تقنيات للتعامل مع البيانات, لكن نوعية التعامل ده ايه مش مشكلة ال Big Data
نيجي لل Data Analysis و ال Data Science
علشان نفهم الاتنين, محتاجين الأول نوصل الفكرة ان ال Data Science هو مجال بيختص بكل ماله علاقة بالبيانات, سواء بيانات Structured أو لأ, سواء محتاجة شوية تجهيز الأول, الهدف الأساسي لل Data Scientist هو انه يبحث في البيانات عن الدرر, زي الأنماط اللي بتتكرر و اللي على أساسها ممكن نتوقع حاجة تحصل في المستقبل, و ده غالباً بيكون عن طريق تطوير Models و ال Models دي ممكن تكون مبنية على حاجات زي Mathematical models, Statistical models, Machine learning, deep learning كل دي طرق مختلفة لبناء ال models اللي حتساعده انه من خلال البيانات اللي معاه دلوقتي يقدر يتوقع حاجات تحصل في المستقبل.
ال Data Scientist عمومأً بيبقى خلفيته رياضية أو احصائية مع ال Computer Science, و ده طبعاً بيخليهم نادرين و الطلب عليهم كثير لأن الخلطة دي من المهارات مش سهلة قوي.
و فيه مثل مشهور
Data Scientist: A person who is better at Statistics than any Software Engineer, and better at Software Engineering than any Statistician
و أغلب الصناعات و المجالات اللي بتتعامل مع بيانات كثير بتحتاج ناس تقدر تطلعلهم النوع ده من ال insights من البيانات, زي المؤسسات المالية, و شركات السوشيال ميديا, و التسويق و المبيعات و غيرها من المجالات.
ال Data Analyst
هو شخص بيتعامل مع البيانات بشكل يومي و غالباً من خلال ادوات جاهزة, زي Tableu أو حتى Excel, الفكرة انه أغلب الوقت بيكون هدفه هو الوضع الحالي أكثر من ايه اللي حيحصل في المستقبل, يعني أسئلة زي احنا عملنا مبيعات النهاردة بكام, أو عندنا كام عميل جديد, أو السنة دي مقارنة بالسنة اللي فاتت عملنا فلوس قد ايه, كلها بيانات و أسئلة مهمة, لكن أغلبها بتكون اسئلة اجابتها موجودة في البيانات أو محتاجة عمليات احصائية بسيطة, مش بالضرورة يكون عنده خلفية برمجية, و ان كان من المتوقع انه يكون عنده القدرة على التعامل مع قواعد بيانات أو البرامج الخاصة بده, مع خلفية احصائية.
يعني لو حبينا نقول أكبر فرق بين ال Data Scientist و ال Data Analyst هو ان ال Data Scientist مشغول باستقراء المستقبل و ال Data Analyst مشغول بتقييم الواقع و الماضي.
ده كان موضوعنا الأسبوع ده, مستنيين مقترحاتكم و اسئلتكم, و ان شاء الله نرجعلكم بموضوع جديد قريب.
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تعتبر مرحلة تحليل البيانات أحد أهم المراحل في الدراسة/البحث العلمي كونه يتم فيها تفصيل و تحليل البيانات و التي تم جمعها بأحد طرق جمع البيانات المختلفة.
وردتني العديد من الإستفسارات حول مالمفترض عمله في هذا القسم، خصوصا من الطلاب، لذلك، قررت أن أعمل هذا الفيديو و الذي تم رفعه على جزئين لمشاركة بعض النصائح و الطرق و المعلومات المتعلقة بتحليل البيانات.
راجع الموضوع كاملا في مدونة و دليل البحث العلمي:
http://educad.me/1115/%D8%AA%D....8%AD%D9%84%D9%8A%D9%
الجزء الثاني من الفيديو:
http://www.youtube.com/watch?v=WXGhBDrrmUc
The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends.
The steps are also described in writing below (Click Show more):
STEP 1, reading the transcripts
1.1. Browse through all transcripts, as a whole.
1.2. Make notes about your impressions.
1.3. Read the transcripts again, one by one.
1.4. Read very carefully, line by line.
STEP 2, labeling relevant pieces
2.1. Label relevant words, phrases, sentences, or sections.
2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant.
2.3. You might decide that something is relevant to code because:
*it is repeated in several places;
*the interviewee explicitly states that it is important;
*you have read about something similar in reports, e.g. scientific articles;
*it reminds you of a theory or a concept;
*or for some other reason that you think is relevant.
You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you.
It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds.
STEP 3, decide which codes are the most important, and create categories by bringing several codes together
3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand.
3.2. You can create new codes by combining two or more codes.
3.3. You do not have to use all the codes that you created in the previous step.
3.4. In fact, many of these initial codes can now be dropped.
3.5. Keep the codes that you think are important and group them together in the way you want.
3.6. Create categories. (You can call them themes if you want.)
3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever.
3.8. Be unbiased, creative and open-minded.
3.9. Your work now, compared to the previous steps, is on a more general, abstract level. You are conceptualizing your data.
STEP 4, label categories and decide which are the most relevant and how they are connected to each other
4.1. Label the categories. Here are some examples:
Adaptation (Category)
Updating rulebook (sub-category)
Changing schedule (sub-category)
New routines (sub-category)
Seeking information (Category)
Talking to colleagues (sub-category)
Reading journals (sub-category)
Attending meetings (sub-category)
Problem solving (Category)
Locate and fix problems fast (sub-category)
Quick alarm systems (sub-category)
4.2. Describe the connections between them.
4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study.
STEP 5, some options
5.1. Decide if there is a hierarchy among the categories.
5.2. Decide if one category is more important than the other.
5.3. Draw a figure to summarize your results.
STEP 6, write up your results
6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results.
6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example:
*results from similar, previous studies published in relevant scientific journals;
*theories or concepts from your field;
*other relevant aspects.
STEP 7 Ending remark
Nb: it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.)
Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze:
*notes from participatory observations;
*documents;
*web pages;
*or other types of qualitative data.
STEP 8 Suggested reading
Alan Bryman's book: 'Social Research Methods' published by Oxford University Press.
Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE.
Text and video (including audio) © Kent Löfgren, Sweden
Download the NVivo Toolkit here: http://bit.ly/16us2u7. For more information visit the QSR International website: http://bit.ly/1eLgDbF. NVivo is software that supports qualitative and mixed methods research.
Maureen will share how the four-stage process (description, topic, analysis and conclusions) outlined in the Toolkit enables you to build from lower to higher order themes. The methods outlined in The NVivo Toolkit were used by Maureen in her own PhD research to much success. This structured approach helps you to organize and identify themes in data, while also promoting credible, reliable and thorough analysis – and encourages a ‘paperless repository’ for your thesis.