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To Build Truly Intelligent Machines, Teach Them Cause and Effect
Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.
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?
Solution: ‘How to Win at Deep Learning’
When equipped with hidden layers, deep neural networks can accomplish nonlinear feats that are difficult even with sophisticated mathematics.
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.
How to Win at Deep Learning
What happens when you increase the number of layers in an artificial neural network?
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.