What's up in

machine learning

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 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.

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.

Q&A

How to Build a Robot That Wants to Change the World

And not destroy humanity in the process.

Photo of AlphaGo board by dreamdream | Quanta Magazine
Abstractions blog

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.

Math scuba diving
insights puzzle

How to Win at Deep Learning

What happens when you increase the number of layers in an artificial neural network?

Information dog bottleneck
Wired to Learn: The Next AI

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.