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A new version of AlphaGo needed no human instruction to figure out how to clobber the best Go player in the world — itself.
A project to decipher the brain’s learning rules could revolutionize machine learning.
The Go-playing program teaches itself to replicate something very much like human intuition, an advance that promises far-reaching consequences.
New research suggests physicists, computers and brains employ the same procedure to tease out important features from among other irrelevant bits of data.
Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.
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