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Brains May Teeter Near Their Tipping Point
In a renewed attempt at a grand unified theory of brain function, physicists now argue that brains optimize performance by staying near — though not exactly at — the critical point between two phases.
Machine Learning’s ‘Amazing’ Ability to Predict Chaos
In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.
Why Artificial Intelligence Like AlphaZero Has Trouble With the Real World
The latest artificial intelligence systems start from zero knowledge of a game and grow to world-beating in a matter of hours. But researchers are struggling to apply these systems beyond the arcade.
Job One for Quantum Computers: Boost Artificial Intelligence
The fusion of quantum computing and machine learning has become a booming research area. Can it possibly live up to its high expectations?
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.
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.
Clever Machines Learn How to Be Curious
Computer scientists are finding ways to code curiosity into intelligent machines.
Mapping the Brain to Build Better Machines
A project to decipher the brain’s learning rules could revolutionize machine learning.
Is AlphaGo Really Such a Big Deal?
The Go-playing program teaches itself to replicate something very much like human intuition, an advance that promises far-reaching consequences.