Rosalind Picard: Affective Computing, Emotion, Privacy, and Health Artificial Intelligence Podcast

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Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launched the field of affective computing with her book of the same name. This book described the importance of emotion in artificial and natural intelligence, the vital role emotion communication has to relationships between people in general and in human-robot interaction. I really enjoyed talking with Roz over so many topics including emotion, ethics, privacy, wearable computing, her recent work in epilepsy, and even love and meaning. This conversation is part of the Artificial Intelligence podcast at MIT and beyond.


MIT AI: Google (Eric Schmidt)

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Eric Schmidt was the CEO of Google from 2001 to 2011, and its executive chairman from 2011 to 2017, guiding the company through a period of incredible growth and a series of world-changing innovations. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone. Audio podcast version is available on https://lexfridman.com/ai/


Jeff Hawkins: Thousand Brains Theory of Intelligence Artificial Intelligence (AI) Podcast

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Jeff Hawkins is the founder of Redwood Center for Theoretical Neuroscience in 2002 and Numenta in 2005. In his 2004 book titled On Intelligence, and in his research before and after, he and his team have worked to reverse-engineer the neocortex and propose artificial intelligence architectures, approaches, and ideas that are inspired by the human brain. These ideas include Hierarchical Temporal Memory (HTM) from 2004 and The Thousand Brains Theory of Intelligence from 2017. This conversation is part of the Artificial Intelligence podcast. Audio podcast version is available on https://lexfridman.com/ai/


MIT AI: Brains, Minds, and Machines (Tomaso Poggio)

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Tomaso Poggio is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of the nature of intelligence, in both biological neural networks and artificial ones. He has been an advisor to many highly-impactful researchers and entrepreneurs in AI, including Demis Hassabis of DeepMind, Amnon Shashua of MobileEye, and Christof Koch of the Allen Institute for Brain Science. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone.


MIT AI: Poker and Game Theory (Tuomas Sandholm)

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Tuomas Sandholm is a professor at CMU and co-creator of Libratus, which is the first AI system to beat top human players at the game of Heads-Up No-Limit Texas Hold'em. He has published over 450 papers on game theory and machine learning, including a best paper in 2017 at NIPS / NeurIPS. His research and companies have had wide-reaching impact in the real world, especially because he and his group not only propose new ideas, but also build systems to prove these ideas work in the real world. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone.