Triangulating Intelligence Session 1 Matthew Botvinick Dan Yamins and Chelsea Finn











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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

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