Beyond Deep Learning with Gary Marcus episode artwork

EPISODE · Oct 30, 2019 · 36 MIN

Beyond Deep Learning with Gary Marcus

from Azeem Azhar's Exponential View · host EPIIPLUS 1 Ltd / Azeem Azhar

Gary Marcus is well known as a deep learning critic. A neuroscientist, entrepreneur, and the author of “Rebooting AI: Building Artificial Intelligence We Can Trust,” Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. Marcus and Azeem Azhar discuss why, how, and when we can expect progress. In this podcast, they also discuss: What newborn ibexes can teach us about intelligence and learning. How deep learning widens the gap between big companies and startups. What we need for a breakthrough in AI. Further reading: “How to Build Artificial Intelligence We Can Trust” (The New York Times, Gary Marcus and Ernest Davis, Sep. 6, 2019) “Deep Learning: A Critical Appraisal” (Cornell University, Gary Marcus, Jan. 2, 2018) @garymarcus @azeem @exponentialview Exponential View newsletter Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode metadata supplied by the publisher feed · Published Oct 30, 2019

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Gary Marcus has a reputation for being a contrarian in the AI community. Over the past several years, Marcus, a neuroscientist, entrepreneur, and the author of “Rebooting AI: Building Artificial Intelligence We Can Trust,” has been a vocal critic of deep learning as the best way forward for AI. Marcus joins Azeem Azhar to discuss the alternatives for building better machine intelligence.

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Beyond Deep Learning with Gary Marcus

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