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machine learning

Photo of Judea Pearl
Q&A

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.

Art for "Artificial Neural Nets Grow Brainlike Navigation Cells"
Abstractions blog

Artificial Neural Nets Grow Brainlike Navigation Cells

Faced with a navigational challenge, neural networks spontaneously evolved units resembling the grid cells that help living animals find their way.

Gif illustration for "Machine Learning’s ‘Amazing’ Ability to Predict Chaos"
chaos theory

Machine Learning’s ‘Amazing’ Ability to Predict Chaos

In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.

520px photo of Barbara Engelhardt
Q&A

A Statistical Search for Genomic Truths

The computer scientist Barbara Engelhardt develops machine-learning models and methods to scour human genomes for the elusive causes and mechanisms of disease.

520px photo of a robot holding a wooden puzzle block
artificial intelligence

Why Self-Taught Artificial Intelligence 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.

520px photo of lit neurons
Abstractions blog

With Strategic Zaps to the Brain, Scientists Boost Memory

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.

520px illustration of quantum computing neural networks
The Future of Quantum Computing

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?

Math scuba diving
insights puzzle

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.