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To efficiently analyze a firehose of data, scientists first have to break big numbers into bits.
A new version of AlphaGo needed no human instruction to figure out how to clobber the best Go player in the world — itself.
A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.
The theoretical computer scientist behind the influential Unique Games Conjecture delights in the wonders of New York’s Washington Square Park, where he ponders the impossible.