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New Theory Cracks Open the Black Box of Deep Learning
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 Brain Built From Atomic Switches Can 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.
Clever Machines Learn How to Be Curious
Computer scientists are finding ways to code curiosity into intelligent machines.
Subhash Khot, Playing Unique Games in Washington Square Park
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.
How Nature Solves Problems Through Computation
The evolutionary biologist Jessica Flack seeks the computational rules that groups of organisms use to solve problems.
Wanted: More Data, the Dirtier the Better
The computational immunologist Purvesh Khatri embraces messy data as a way to capture the messiness of disease. As a result, he’s making elusive genomic discoveries.
Why Quantum Computers Might Not Break Cryptography
A new paper claims that a common digital security system could be tweaked to withstand attacks even from a powerful quantum computer.
How to Use a Sphere to Talk to Mars
To avoid garbled messages, mathematicians might translate them into geometric form.
Graph Isomorphism Vanquished — Again
Just five days after posting a retraction, László Babai announced that he had fixed the error in his landmark graph isomorphism algorithm.