This video is about The Hive Annual Summit - Rand Hindi
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
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.
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
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WATCH HOW WE MADE THIS (Amazing) ► https://www.youtube.com/watch?v=gCuG-KJacp8
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!
An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick.
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.
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.
Salut a tous les amis ! On se retrouve aujourd’hui pour une nouvelle map nommé Burning Hotel with Ted !
Go to: http://www.Atlassian.com to learn more...
Unboxing and installation of Cambridge Consultants' NVIDIA DGX-1 Deep Learning Supercomputer
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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And NICHOLSON1968 for the intros and outros
Video Compilation on Artificial Intelligence, Computational Neuroscience, and Machine Learning.
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.
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.
Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This conversation is part of the Artificial Intelligence podcast. The series includes leading researchers in academia and industry, including CEO's and CTO's of automotive, robotics, AI, and technology companies. See the comments I make in the introduction to this video below in text form.
We display more than 7000 different facial expressions every day and we perceive all of them very intuitively. We associate to them attitudes, emotions, intentions, and moods. They are the window into our inner selves. Maja Pantic uses artificial intelligence and machine learning techniques to analyse human non-verbal behaviour, including facial expressions, body gestures, laughter, social signals, and affective states. In this video, she shows how these techniques can be used for the good of people – helping autistic children interpret other people’s facial expressions – or for the bad. Maja imagines AI enhancing human abilities further, allowing for sight, hearing and even communicating to be aided by computers. However, she urges all of us to protect out own behavioral data from corporate misuse. Professor Maja Pantic went from studying mathematics in her native Belgrade, Serbia, to specialising in computer sciences in Delft, the Netherlands. From Delft, Pantic moved to London where she is now Professor of Affective and Behavioural Computing and the Head of the iBUG group, working on machine analysis of human non-verbal behaviour. In May 2018, she became the Research Director of Samsung AI Research Centre in Cambridge. 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
Some of the hottest topics in technology today are Blockchain (not Cryptocurrency), IoT - the Internet of Things and Artificial Intelligence/Machine Learning. However, these are often talked about individually. But, how do they relate and why? What is driving the convergence of these technologies? What should you know to prepare yourself to drive the impact these technologies will make on the future?
Funny Clip From Burnsitown The Programme Elevator Clip - The 2 Guys Cant Get The Voice Recognition Thing In The Elevator To Work Hilarious ! !
Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud's vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways.
A VR game for experiencing the life of a transgender boy
Martin Ford documents in “Rise of the Robots,” the job-eating maw of technology now threatens even the nimblest and most expensively educated. Lawyers, radiologists and software designers, among others, have seen their work evaporate to India or China. Tasks that would seem to require a distinctively human capacity for nuance are increasingly assigned to algorithms, like the ones currently being introduced to grade essays on college exams. Particularly terrifying to me, computer programs can now write clear, publishable articles, and, as Ford reports, Wired magazine quotes an expert’s prediction that within about a decade 90 percent of news articles will be computer-generated.In his new book, Rise of the Robots, Ford considers the social and economic disruption that is likely to result when educated workers can no longer find employment.