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The computer scientist Barbara Engelhardt develops machine-learning models and methods to scour human genomes for the elusive causes and mechanisms of disease.
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.
Stimulating part of the cortex as needed during learning tasks improves later recall. The finding reveals more about the brain’s memory network and points toward possible therapies.
The fusion of quantum computing and machine learning has become a booming research area. Can it possibly live up to its high expectations?
When equipped with hidden layers, deep neural networks can accomplish nonlinear feats that are difficult even with sophisticated mathematics.
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.