Garry marcus: If i were king day, that's what we would do. I think there would be enormous value in having an ai that could read and understand the medical literature. Having a system read a scientific literature, come up with experiments based on, ah, you know what it reads,. Come up with novels, solutions and so forth. Like, i think that could change the world a it would certainly push a forward.
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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