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Best-Ever Algorithm Found for Huge Streams of Data
To efficiently analyze a firehose of data, scientists first have to break big numbers into bits.
Artificial Intelligence Learns to Learn Entirely on Its Own
A new version of AlphaGo needed no human instruction to figure out how to clobber the best Go player in the world — itself.
One-Way Salesman Finds Fast Path Home
The real-world version of the famous “traveling salesman problem” finally gets a good-enough solution.
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.
In Game Theory, No Clear Path to Equilibrium
John Nash’s notion of equilibrium is ubiquitous in economic theory, but a new study shows that it is often impossible to reach efficiently.
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.