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machine learning

Art for "Machine Learning Confronts the Elephant in the Room"
artificial intelligence

Machine Learning Confronts the Elephant in the Room

A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.

Art for "New AI Strategy Mimics How Brains Learn to Smell"
artificial intelligence

New AI Strategy Mimics How Brains Learn to Smell

Machine learning techniques are commonly based on how the visual system processes information. To beat their limitations, scientists are drawing inspiration from the sense of smell.

Photo illustration of Constantinos Daskalakis
2018 Fields Medal and Nevanlinna Prize Winners

A Poet of Computation Who Uncovers Distant Truths

The theoretical computer scientist Constantinos Daskalakis has won the Rolf Nevanlinna Prize for explicating core questions in game theory and machine learning.

Abstractions blog

How Artificial Intelligence Can Supercharge the Search for New Particles

In the hunt for new fundamental particles, physicists have always had to make assumptions about how the particles will behave. New machine learning algorithms don’t.

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.

Lede art for "Why Self-Taught Artificial Intelligence Has Trouble With the Real World"
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.