An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. (More)

Our solar system now is tied for most number of planets around a single star, with the recent discovery of an eighth planet circling Kepler-90, a Sun-like star 2,545 light years from Earth. The planet was discovered in data from NASA’s Kepler space telescope. (More)

Boston Dynamics adındaki kuruluşun google desteği ile ürettiği birkaç prototipin ürettiği fonksiyonları görüyoruz. Üstün hareket kabiliyeti ve muazzam denge yetenekleri ile bu prototipler sıradan bir robottan daha fazlası. (More)

The DARPA Challenge is a competitive obstacle course that allows robotics teams to win millions in prize money. More than that, the challenge displays the future benefits of general purpose robots that could aide in future disaster relief. (More)

MIT 6.034. Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

Salut a tous les amis ! On se retrouve aujourd’hui pour une nouvelle map nommé Burning Hotel with Ted ! (More)

Elon Musk speaks about artificial intelligence at the World Government Summit. (More)

Go to: http://www.Atlassian.com to learn more... (More)

Produced by the Royal Society, more info can be found at https://royalsociety.org/topics-policy/projects/machine-learning/ (More)

Unboxing and installation of Cambridge Consultants' NVIDIA DGX-1 Deep Learning Supercomputer (More)

And here comes the wave or Dwave of individual quantum computers in every college, labratory etc. all tied together in a daisy chain to help usher in entities that couldnt otherwise enter our physical realm, yeah Science.
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http://www.sciencealert.com/it-s-happening-scientists-unveil-first-ever-blueprint-for-a-mind-bendingly-massive-quantum-computer#.WJKrw3tdpVk.link
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Special thanks to ODD Reailty
And NICHOLSON1968 for the intros and outros (More)

This video is about The Hive Annual Summit - Rand Hindi (More)

Geordie Rose creator of the quantum computer speaks about the future of D-Wave and parallel universe followed by the coming age of A.I. Technology. This is a 2001 Space Odyssey mash up (More)

Dr. Animashree Anandkumar is a Bren Professor at the California Institute of Technology and Director of Machine Learning Research at NVIDIA. She develops machine-learning algorithms that enable computers to process dimensional data using tensors. She finds ways to make these algorithms scale more effectively. She earned several prizes for her work including the Alfred P. Sloan Research Fellowship, NSF Career Award, and faculty fellowships from Adobe, Google, and Microsoft. Additionally, Anandkumar was nominated to the World Economic Forum’s network of experts for many fields including academia, business, and the arts. Dr. Animashree Anandkumar is a Bren Professor at Caltech and Director of Machine Learning Research at NVIDIA. She develops machine-learning algorithms that enable computers to process dimensional data using tensors. She finds ways to make machine learning algorithms scale more effectively. She earned several prizes including the Alfred P. Sloan Research Fellowship, NSF Career Award, and faculty fellowships from Adobe, Google, and Microsoft. Anandkumar was nominated to the World Economic Forum’s network of experts for many fields including academia, business, and the arts. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx (More)

Medical diagnosis often is based on information visible from medical images. But what if machine learning and artificial intelligence could help our doctors gain more knowledge from medical images and therefore predict diseases earlier? New research indicates this is indeed possible, and the implications for preventive medicine and several disease types are large. Learn about it in this talk. (More)

Daniel Gillblad, PhD, Director, Decisions, Networks and Analytics Laboratory, RISE SICS AB
.Artificial intelligence beyond Machine Learning, and what are we at RISE SICS doing in this area. (More)

Laura Montoya is the Founder and Managing Partner of Accel Impact, including Accel.AI, a global Non-Profit Institute lowering the barriers to entry in engineering artificial intelligence, and LXAI (www.latinxinai.org) an initiative to create opportunity for Latinx in AI. She has been described as a natural and versatile leader with a passion for AI, Computer Science, Research, and Psychology. Her talk explores modeling AI algorithms for social impact through theory, applications, and correlations to real world experience. She describes concepts in reinforcement learning and deep learning, with analogies to evolution of the individual and societies.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx (More)

Consider Our Merchandise! ► http://bit.ly/Corridor_Store
WATCH HOW WE MADE THIS (Amazing) ► https://www.youtube.com/watch?v=gCuG-KJacp8 (More)

I'm going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating features like payments and AI into a single app, I'll show you my 10 step process. I hope that by seeing my thought process and getting familiar with the sequence of steps I'll demonstrate, you too will be as inspired as I am to use this technology to do something great for the world. Enjoy! (More)

These may be the coolest USB sticks we've ever seen... but can you amplify their performance by "SLIing" them like you can with their GPU lookalikes? (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

BigDog climbs in the woods, keeps its balance when kicked and when slipping on ice, travels through snow and mud, jogs 5 mph, and climbs some rubble. (More)

This is a cropped and tracked version of the original video so you can see a close up only of the presentation screen, only the wheeled robot part is selected because it was never seen before footage, for the rest see the original video presentation below: (More)

Say hello to the robots that will be competing in the December 2013 DARPA Robotics Challenge Trials at the Homestead-Miami Speedway! Which is your favorite? (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

http://www.ted.com The news that Chinese artist Ai Weiwei has been detained by authorities has prompted significant concern here at TED-HQ. We had shown a film of him at last month's conference, an unexpected and courageous statement about his treatment by the government, social change, the power of the web, and his hope for the future of China. The film, which was shown as Ai Weiwei himself watched live over the web in the middle of the night, prompted a huge standing ovation from the TED audience. (More)

There are more than 800 million people victims of addictions in the world and Gabe Zicherman shares how we've always used technology to make things more addictive but it has become more extreme because of the use of algorithms. At the same time he explains how these very same algorithms can be used to conquer addictions.
Gabe Zichermann is the CEO & Co-Founder of Onward and the principal experience architect of the company’s scalable, AI-driven approach to conquering addiction. Gabe is a serial entrepreneur, author of three books and speaker with over a decade of experience building systems for behavior change. He is also the world’s foremost expert on engaging design and technology whose work in creating the Gamification movement has changed government, large enterprise and startup workplaces, products and business processes. After watching family and friends battle their addictions, Gabe’s vision is to foster a world where balanced relationships between “real life" and technology make everyone healthier, happier and more truly connected. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx (More)

Watson is IBM's Artificially Intelligent Super Computer most famous for beating two former champions in the U.S. quiz show jeopardy. But now he’s doing so much more. (More)

LIVING UNIVERSE is an interstellar adventure that seeks to answer the most profound question of all: are we alone? Based on the latest scientific knowledge, we will take a journey to a planet beyond our solar system in search of life. (More)

Robot Who Once Said It Would 'Destroy Humans' Becomes First Robot Citizen In World. (2017-2018) (More)

Video Compilation on Artificial Intelligence, Computational Neuroscience, and Machine Learning. (More)

Believe it or not, its a robot named Jiajia.Jia Jia has the long flowing locks and rosy red cheeks as a human, but is being taught deep learning abilities.This life-like cyborg is the brain child of Chen Xiaoping and his colleagues at the University of Science and Technology of China. (More)

When most of us look at A.I. we see magical capabilities. When economists look at A.I. they see something very different. Economist Ajay Agrawal explains: "What economists bring to the conversation is that they are able to look at a fascinating technology like artificial intelligence and strip all the fun and wizardry out of it and reduce A.I. down to a single question, which is, 'What does this technology reduce the cost of?'" Never has one person taken such delight in stripping the fun from something awesome. But what does A.I. lower the cost of? Predictions, says Agrawal. Intelligent machines can take information we have and use it to generate information we need. Uncertainty is the single biggest hurdle in good decision making, and A.I. can drastically increase certainty in many areas, like automated vehicles, language translation, human resources and medical diagnostics. As A.I. becomes a cheaper technology, its use will become even more widespread. "Where I think it’s really interesting is that when it becomes cheap, we’ll start using it for things that weren’t traditionally prediction problems but we’ll start converting problems into prediction problems to take advantage of the new, cheap prediction." Ajay Agrawal is the co-author of Prediction Machines: The Simple Economics of Artificial Intelligence. (More)