Deep Learning vs. Classic Symbol Manipulation in AI

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There are older techniques that everybody takes for granted.
There are things like alphago. They are hybrid models that use classical tree search techniques enhanced with monte carlo techniques, m in order to do what they're doing.
They're not just that, right? They actually borrow some important ideas about search, for example, and symbols from classical a i.
So they're actually hybrid systems, and people don't m acknowledge that.

Artificial intelligence is everywhere around us. Deep-learning algorithms are used to classify images, suggest songs to us, and even to drive cars. But the quest to build truly “human” artificial intelligence is still coming up short. Gary Marcus argues that this is not an accident: the features that make neural networks so powerful also prevent them from developing a robust common-sense view of the world. He advocates combining these techniques with a more symbolic approach to constructing AI algorithms.

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Gary Marcus received his Ph.D. in cognitive science from MIT. He is founder and CEO of Robust.AI, and was formerly a professor of psychology at NYU as well as founder of Geometric Intelligence. Among his books are Rebooting AI: Building Machines We Can Trust (with Ernest Davis).

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