The Most Impressive Shot on Goal

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Am, dug lannet built this thing called psyke, which you may or may not know about. It was an attempt to put all f common sense knowledge in machine interpretable form. And it hasn't been the home run that he thought it would be. But there's a still a tremendous programme out there in front of us o figuring out what it is we want them to know ahead of time. I think maybe it failed because it started too soon with a different set of tools than we would do to use the project that he was trying to do.

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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