Deep Learning Is a New Success in the Games

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Deep learning is very, very good at some things. The success in the protein folding and the success in the games actually depend on hybrid systems. So oftentimes the field kind of pumps up the deep learning and doesn't really talk about the other piece of it. And te the there's a mistake associated with deep learning right now,. Often it's actually just part of the picture that th just gets completely lost short.

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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