Is It Possible to Build a Symbolic Correlation?

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Deep learning, or statistical correlation to be a tool used by a symbolic manipulator like you know, that you need some view of the world that is represented symbolically. The people have said you can't build the api to do it. There needs to be some planning to make them,. Some planning around what te're gong to be we call, technically, the inner face condition, yes.

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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