This is my take on the Mandela effect. And possibly what it could mean. Also below are various links to some of the topics that I mentioned. Feel free to check out these other YouTube channels as well.
16:00-16:20 Alex Matthews, University of Cambridge A variational framework for approximate Gaussian process inference
16:20-16:40 Ferenc Huszár, Magic Pony Technology, Cambridge Generative Models for Image Processing
16:40-17:00 Sacha Krstulovic, Audio Analytic Ltd., Cambridge Automatic Environmental Sound Recognition: Performance versus Computational Cost
The first of four sessions, designed for individuals with no background in Artificial Intelligence whatsoever- very novice-friendly!
11:30-11:50 Antonio Criminisi, Microsoft Research Efficient machine learning for the quantitative analysis of medical images
11:50-12:10 Sebastian Nowozin, Microsoft Research Bayesian Time-of-Flight for Realtime Scene Decomposition into Geometry, Reflectance, and Light
12:10-12:30 Ryota Tomioka, Microsoft Research Understanding the role of invariances in training neural networks
12:30-12:50 Yoram Bachrach, Microsoft Research Analyzing factors behind hiring decisions based on online social network profiles
09:30-09:50 Carl Rasmussen, University of Cambridge Variational Inference in Gaussian Processes for non-linear time series
09:50-10:10 Yingzhen Li, University of Cambridge Variational inference with Rényi divergencee
10:10-10:30 Thang Bui, University of Cambridge Deep Gaussian Processes for Regression using Approximate Expectation Propagation
10:30-10:50 Adrian Weller, University of Cambridge Clamping variables and approximate inference
This video was recorded at FTC 2016 - http://saiconference.com/FTC
This is a talk by Marc Raibert for course 6.S099: Artificial General Intelligence. He is the CEO of Boston Dynamics. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
Namaskaar Dosto, yeh ek interesting video hai jaha maine aapse Artificial Intelligence ke baare mein baat ki hai, ab Artificial Intelligence kya hai? iske kitne types hai? aur future mein Artificial Intelligence se kya kya hoga wahi sab baatein maine aapko is video mein batayi hai, Artificial Intelligence ki types jaise Weak AI ya fir Narrow AI, Strong AI ya fir General AI, aur fir Singularity ke baare mein bhi aapko is video mein pata chalega.
This is the opening lecture for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
This is a talk by Ray Kurzweil for course 6.S099: Artificial General Intelligence. For this entire recording, Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
Machine Learning, Big Data, Data Science & Analytics are the buzzwords of our generation. A career on these fields is considered to be very lucrative. In this video you will know what the great business leader of our times Elon Musk, Jack Ma, Bill Gates, Sunder Pichai have to say on career on these fields.
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HOW ARTIFICIAL INTELLIGENCE WILL CHANGE THE WORLD | Elon Musk, Bill Gates & Mark Zuckerberg
In this video we discuss how artificial intelligence, machine learning and deep learning principles will and already have changed the world. Hopefully they will have a positive impact on the world, but not all are of that belief. Especially Elon Musk calls for stricter government control, where Mark Zuckerberg and Bill Gates both have a more relaxed approach.
Artificial Intelligence (AI) is currently the hottest buzzword in tech. Here is a video on the role of Artificial Intelligence and its scope in the future. We have put together the best clips on Artificial Intelligence by the most well-known leaders and influencers such as Bill Gates, Tim Cook, Warren Buffett, Barack Obama, Elon Musk, Sundar Pichai and Jeff Bezos. The last few years have seen a number of techniques that have previously been in the realm of science fiction slowly transform into reality. We have brought to you the business leaders of today speaking about artificial intelligence, what is fascinating about AI, the latest AI projects and what's in store for the future of AI. We will also answer the question of whether AI will someday overpower us humans.
It is difficult to overstate the likely impact of artificial intelligence (AI) on the way we live and learn in the future, and the way we carry out our roles as L&D professionals. If you're freaked out by Amazon guessing what you'll read next you ain't seen nothing yet. From algorithms to networked knowledge, this session lays bare how AI will transform our lives – and where it already has.
Please watch: "Ten Powerful Future Technologies that would change the World (A Must Watch)"
Hristo Georgiev talks about hacking today’s AI, what implications it holds for the future and how we can make tomorrow’s AI smarter. Hristo is a co-founder at Centroida, one of the first technology companies in the region that specializes in researching and applying various Deep Learning methods.
ROBIN GROSSET is Chief Technology Officer at MindBridge AI
where he works on applying artificial intelligence technology to financial data. Robin has a track record as an entrepreneur having founded successful software startups which resulted in him joining Cognos and then IBM through acquisitions. At IBM Robin was a distinguished engineer and led the development of IBM Watson Analytics. Follow on Twitter @robingrosset Robin Grosset is Chief Technology Officer at MindBridge AI where he works on applying artificial intelligence technology to financial data. Robin has a track record as an entrepreneur having founded successful software startups which resulted in him joining Cognos and then IBM through acquisitions. At IBM Robin was a Distinguished Engineer and led the development of IBM Watson Analytics. Robin grew up in Scotland and studied Physics and Computing Science at Newcastle University in the UK. 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
Open House is a yearly event welcoming all of our past, present and future collaboration partners.
This is a great opportunity to learn more about the future technologies that will change the world.
What's more clever...the human brain or a computer chip? Wach the full program now: https://www.worldsciencefestival.com/videos/computational-creativity-ai-art-ingenuity/
SYNOPSIS: Will a computer ever be more creative than a human? In this compelling program, artists, musicians, neuroscientists, and computer scientists explore the future of artistry and imagination in the age of artificial intelligence.
Fair is not the default. In the rush to Artificial General Intelligence and automating all the things, how will we stay in touch with our humanity when making the product design decisions of the future? Josh Lovejoy is a Staff User Experience Designer in the Experimental Design Group at Google, where he works at the intersection of product design, ethics, and artificial intelligence. He believes that human-centered design thinking can change the world for the better; that by seeking to address the unmet needs of people—instead of just technological opportunity—we can build tools that nourish, restore, and augment human capability.
Jiří Materna spoke about his field of business - artificial neural network programming and introduced his project of machine learning with regard to art programming. He developed a program which enabled computers to write poems or compose music and even published a book of poems that were completely written by computers. Jiří aso briefly spoke about the potential future of A.I.
Idonae Lovetrue discusses the difference between mental and physical artificial intelligence. For too long, she argues, we have been focusing on algorithms for mental processing and it is time to rethink this position. Since 2015 she and her husband have been running Demiurge Technologies, a startup in Zug devoted to pioneering a new path in the area of physical artificial intelligence.
Truly intelligent systems will not be anything like the software we know today, for at least two reasons: Today’s software cannot “figure stuff out for itself” (why, for instance, something that used to be a certain way is now somehow different), and it has no “life of its own” — since, whenever its environment changes even slightly, it relies completely and utterly on its designers to make things right. In short, today’s AI systems don’t are not inquisitive and have little or autonomy to speak of. All AI systems today are created the way traditional software is created: By humans coding all of its functions and knowledge by hand. This will not work for creating real AI: to realize truly intelligent systems we need nothing less than a radically new approach to software development. In this talk I will present new methodological principles for achieving artificial general intelligence that address limitations inherent to current approaches, based on a a new programming language, a new programming paradigm, and a new realtime logic. I will demonstrate the world's first seed-AI system — a new architectural blueprint for generally intelligent cognition. Our agent S1 implemented in this architecture can learn complex tasks such as natural language-based communication between humans solely by observation.
What is artificial general intelligence and what are researchers doing to achieve this goal today? Oriol, from Google DeepMind, walks you through the answers to these questions with some interesting examples.
Oriol Vinyals is a senior research scientist at Google DeepMind. Before that he was at Google Brain and Berkeley. His research has been cited over 39,000 times. He is one of the most brilliant and impactful minds in the field of deep learning. He is behind some of the biggest papers and ideas in AI, including sequence to sequence learning, audio generation, image captioning, neural machine translation, and reinforcement learning. He is a co-lead (with David Silver) of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft. This conversation is part of the Artificial Intelligence podcast at MIT and beyond. Audio podcast version is available on https://lexfridman.com/ai/
Carl Henrik gives us a fascinating talk about human beings’ ability to reason under uncertainty and his view on intelligence. He tells us about the beauty and strengths of human intelligence in comparison to that of machines. What makes human intelligence unique and what are the strengths in our thinking and reasoning? And how can we use it and preserve it for better and more efficient purposes?
Neil understands the potential AI has to revolutionize the world; however, he also has a mission to teach people the truth about technology, informing about the dangers of AI when the revolution starts to grow faster than the regulations, putting us all at risk. Neil Deshmukh is dedicated to using technology as a superpower as a means to help people all over the world. By creating solutions to worldwide problems (even in the comfort of his bedroom), technology allows him to help people around the world. He has founded two businesses and worked on in-depth research based on the idea of Artificial Intelligence, the science and art of teaching computers to do things that we once thought only we could do. He has created VocalEyes, an IOS app which allows visually impaired users to navigate the world using technology to identify objects, text, people, and environments. It has thousands of users, and is on the App Store. PlantumAI allows farmers to diagnose their plants, and treat them before their crops are destroyed by disease. It is currently being used in areas of India to reduce over-pesticide usage. He’s also worked on many research projects utilizing the power of AI to help doctors diagnose and analyze patients more efficiently. 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
Artificial Intelligence is everywhere, and as we advance in time we may become more comfortable with it - or we may not! How much can and should Artificial Intelligence do? Riccardo Zecchina may have the answer to these questions. He provides his unique perspective on the future of AI and Machine Learning. Riccardo Zecchina is a professor in theoretical physics and machine
learning at Bocconi University. He has received multiple international
recognitions, including an ERC Advanced Grant and the Lars Onsager
prize 2016 by the American Physical Society. 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