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Triangulating Intelligence Melding Neuroscience Psychology and AI Full Conference Video
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=EuaZzFC0PS0
HAI's fall 2020 conference, Triangulating Intelligence: Melding Neuroscience, Psychology, and AI, focused on the latest research on cognitive science, neuroscience, vision, language, and thought informing the pursuit of artificial intelligence. • Session 1 • Welcome: :03 • Fei-Fei-Li, 李飞飞, Sequoia Professor, Computer Science Department; Denning Co-Director, Stanford HAI • Introduction: 2:13 • Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Faculty Associate Director, Stanford HAI • Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford HAI • AI, Psychology, and Neuroscience: The View from DeepMind: 16:06 • Matthew Botvinick, Director of Neuroscience Research, DeepMind; Honorary Professor, Computational Neuroscience Unit, University College London • Self-Supervised Learning of Visual (And Other) Representations: 45:51 • Dan Yamins, Assistant Professor of Psychology and Computer Science, Stanford University; Faculty Scholar, Wu Tsai Neurosciences Institute • How Not to Create a Robot's Mind: 1:13:22 • Chelsea Finn, Assistant Professor of Computer Science and Electrical Engineering, Stanford University • Panel discussion: 1:36:34 • Session 2 • How to Allow Deep Learning on Your Data Without Revealing Your Data: Simple and Effective Approaches to Privacy: 2:29:19 • Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University • Commonsense Intelligence: Cracking the Longstanding Challenge in AI: 2:56:38 • Yejin Choi, Associate Professor, University of Washington; Senior Research Manager, Allen Institute for Artificial Intelligence • Incorporating Insights from Cognitive Science into AI: 3:21:45 • Aude Oliva, MIT Director, MIT-IBM Watson AI Lab; Co-Director, MIT Quest for Intelligence • Scaling AI the Human Way: Reverse-Engineering Core Common Sense with Probabilistic Programs, Program Induction, and the Game Engine in the Head: 3:49:29 • Joshua Tenenbaum, Professor of Computational Cognitive Science, MIT • Panel Discussion: 4:22:54 • Session 3 • Triangulating Intelligence at Stanford: 5:17:15 • Michael Frank, David and Lucile Packard Professor of Human Biology, and Director, Symbolic Systems Program, Stanford University • Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence • Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence • Bill Newsome, Harman Family Provostial Professor of Neurobiology, Stanford University School of Medicine; Vincent V.C. Woo Director, Wu Tsai Neurosciences Institute
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