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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.
What happens when you increase the number of layers in an artificial neural network?
A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.
A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain’s energy-efficient computing prowess.
Computer scientists are finding ways to code curiosity into intelligent machines.
The Go-playing program teaches itself to replicate something very much like human intuition, an advance that promises far-reaching consequences.
The biological world is computational at its core, argues computer scientist Leslie Valiant.
Computers can translate French and prove mathematical theorems. But can they make deep conceptual insights into the way the world works?
Computer scientist Stuart Russell wants to ensure that our increasingly intelligent machines remain aligned with human values.