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EP25 Gary Marcus on Rebooting AI

EP25 Gary Marcus on Rebooting AI

Released Thursday, 14th November 2019
Good episode? Give it some love!
EP25 Gary Marcus on Rebooting AI

EP25 Gary Marcus on Rebooting AI

EP25 Gary Marcus on Rebooting AI

EP25 Gary Marcus on Rebooting AI

Thursday, 14th November 2019
Good episode? Give it some love!
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Author & CEO Gary Marcus talks with Jim about his book, Rebooting AI, driverless cars, AI learning & intelligence, hybrid AI models & AI bias, and much more...

Scientist, author & entrepreneur Gary Marcus talks with Jim about his latest book, Rebooting AI. In this wide-ranging conversation they cover the gullibility gap, the illusory progress gap, the robustness gap, driverless car progress & safety, how narrow AI is today, model building, the free-lunch theorem, nativism in animals & humans, how Jim’s experience with war games demonstrates the learning limitations of AI, Cyc & ConceptNet, symbolic algorithms, potential of graph neural nets, why Gary thinks hybrid models are the future of AI, challenges of evolutionary AI approaches, data mining & AI echo-chambers, AGI, and much more.

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Robust.AIWhat AI Can Learn From Romeo & JulietNELL: Never-Ending Language LearningSolving Rubik’s Cube with a Robot HandErnest DavisGary on TwitterGary’s Website

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 bestseller Guitar Zero, as well as editor of The Future of the Brain and The Norton Psychology Reader.

He has published extensively in fields ranging from human and animal behavior to neuroscience, genetics, linguistics, evolutionary psychology, and artificial intelligence, often in leading journals such as Science and Nature, and is perhaps the youngest Professor Emeritus at NYU. His newest book, co-authored with Ernest Davis, Rebooting AI: Building Machines We Can Trust aims to shake up the field of artificial intelligence.

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