Show notes
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)
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