Abstract
All purpose, all-powerful AI systems, capable of catering to our every intellectual need, have been promised for six decades, but thus far still not arrived. What will it take to bring AI to something like human-level intelligence? And why haven't we gotten there already? In this lecture, the speaker will explain why deep learning is overrated, and what the scientists need to do next to achieve genuine artificial intelligence.
About the speaker
Prof Gary Marcus received his PhD in brain and cognitive sciences from Massachusetts Institute of Technology in 1993. From 1993 to 1997, he taught at the University of Massachusetts, Amherst, where in 1996 he won the American Psychological Foundation's Robert L. Fantz Award for new investigators in cognitive development. He is currently the Professor of Psychology and Director of the Center for Language and Music at New York University (NYU). He is the co-founder of Geometric Intelligence, a company incubated at NYU Tandon’s Data Future Labs, which was acquired by Uber as part of the company’s efforts to create a new division of AI labs.
Prof Marcus’ research focuses on language, computation, artificial intelligence, and cognitive development, which was published widely in leading journals such as Science and Nature. He is also the author of four books including The Algebraic Mind, Kluge: The Haphazard Evolution of the Human Mind, and The New York Times Bestseller Guitar Zero. He contributes frequently to The New Yorker and The New York Times.
Panel Discussion
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Moderator: |
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Prof Tim Cheng, Dean of Engineering |
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Panelists: |
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Prof Pascale Fung, Professor of Electronic and Computer Engineering;
Prof Dekai Wu, Professor of Computer Science and Engineering;
Prof Qiang Yang, New Bright Professor of Engineering and Head of Computer Science and Engineering |
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