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Quantum computers should soon be able to beat classical computers at certain basic tasks. But before they’re truly powerful, researchers have to overcome a number of fundamental roadblocks.
And not destroy humanity in the process.
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.