Talk Videos from AAAI-2020

February 17 - 20, 2020. New York, USA
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13Speakers
9Talks
1500Attendees
8Hours of content
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About the Event

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. AAAI-20 had a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards.
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Featured Speakers

Dawn Song

Professor at UC Berkeley
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, blockchain and smart contracts, to the intersection of machine learning and security.

Stuart Russell

Professor of Computer Science at UC Berkeley
Stuart Russell works on fundamental problems in AI including theoretical foundations of rationality, the interaction of knowledge and learning, the unification of logic and probability, planning under uncertainty, and decision making over long time scales. In collaboration with UCSF, he applies AI to intensive care medicine. With the United
Nations, he has developed a new global seismic monitoring system for the Comprehensive Nuclear-Test-Ban Treaty. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity. He is a fellow of AAAI, ACM, and AAAS; winner of the Computers and Thought Award, Outstanding Educator Awards from both ACM and AAAI, and the World Technology Award. From 2012 to 2014 he held the Chaire Blaise Pascal in Paris.
His book "Artificial Intelligence: A Modern Approach" (with Peter Norvig) is the standard text in AI; it has been translated into 14 languages and is used in over 1300 universities in 118 countries.

David Silver

Professor at Deepmind and University College London
David Silver is a principal research scientist at DeepMind and a professor at University College London. David’s work focuses on artificially intelligent agents based on reinforcement learning. David co-led the project that combined deep learning and reinforcement learning to play Atari games directly from pixels (Nature 2015). He also led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), and the AlphaZero project, which learned by itself to defeat the world’s strongest chess, shogi and Go programs (Nature 2017, Science 2018). Most recently he co-led the AlphaStar project, which led to the world’s first grandmaster level StarCraft player (Nature 2019). His work has been recognised by the Marvin Minsky award, Mensa Foundation Prize, and Royal Academy of Engineering Silver Medal.
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February 17
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February 18
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February 19
02/19
February 20
02/20
Vivian Lee
President, Health Platforms at Verily Life Sciences
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Daniel Kahneman
Professor of Psychology and Public Affairs Emeritus at Princeton School of Public and International Affairs
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Isaac Kohane
Professor & Chair, Department of Biomedical Informatics at Harvard Medical School
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Henry Kautz
TitleProfessor at University of Rochester
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Susan Athey
Economics of Technology Professor at Stanford Graduate School of Business
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Stuart Russell
Professor of Computer Science at UC Berkeley
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Murray Campbell
Distinguished Research Staff Member at IBM
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