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neural networks

Illustration for "Brains May Teeter Near Their Tipping Point"

Brains May Teeter Near Their Tipping Point

In a renewed attempt at a grand unified theory of brain function, physicists now argue that brains optimize performance by staying near — though not exactly at — the critical point between two phases.

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.

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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?

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.


Mapping the Brain to Build Better Machines

A project to decipher the brain’s learning rules could revolutionize machine learning.

Quantized Columns

Is AlphaGo Really Such a Big Deal?

The Go-playing program teaches itself to replicate something very much like human intuition, an advance that promises far-reaching consequences.

Computer Science

A Common Logic to Seeing Cats and Cosmos

New research suggests physicists, computers and brains employ the same procedure to tease out important features from among other irrelevant bits of data.

computer science

Evidence That Machines Learn Like Us

Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.