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Rebooting AI: Adding Knowledge to Deep Learning

A talk by Gary Marcus
CEO & Founder, Robust.AI

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About this talk

Gary Marcus argues for a shift in research priorities, towards four cognitive prerequisites for building robust artificial intelligence:

  • Hybrid architectures that combine large-scale learning with the representational and computational powers of symbol-manipulation

  • Large-scale knowledge bases—likely leveraging innate frameworks—that incorporate symbolic knowledge along with other forms of knowledge

  • Reasoning mechanisms capable of leveraging those knowledge bases in tractable ways

  • And rich cognitive models that work together with those mechanisms and knowledge bases.

Although there are real problems to be solved here, and a great deal of effort must go into constraining symbolic search well enough to work in real time for complex problems, Google Knowledge Graph seems to be at least a partial counterexample to this objection, as do large scale recent successes in software and hardware verification.

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Gary Marcus

Gary Marcus is a scientist, best-selling author, and entrepreneur. He is Founder and CEO of Robust.AI, and was Founder and CEO of Geometric Intelligence, a machine learning company acquired by Uber in 2016. He is the author of five books, including The Algebraic Mind, Kluge, The Birth of the Mind, and The New York Times best seller Guitar Zero, as well as editor of The Future of the Brain and The Norton Psychology Reader.

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