Wen: We think about chess and go as quintessences of intelligent thought, right? But in some sense, they're really, really simple. The rule set is very, very ple and it's mostly a matter of having enough capacity and computing power to think about it. I think thath the things that that he might have builtae are pretty good at games where there's a closed world and you can gather an infinite amount of data for free. They don't alizes much to the real world, because you usually don't have the same kind of fixed set of rules, and it actually is costly to get data. Nobody has a great solution to dealing with the unknown.
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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