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John Nash’s notion of equilibrium is ubiquitous in economic theory, but a new study shows that it is often impossible to reach efficiently.

The computer scientist Cynthia Dwork takes abstract concepts like privacy and fairness and adapts them into machine code for the algorithmic age.

*Quanta Magazine* invites readers to share about their early math and science learning experiences and to explore the interactive survey results.

The impasse in math and science instruction runs deeper than test scores or the latest educational theory. What can we learn from the best teachers on the front lines?

Computer scientists have come up with a bounded algorithm that can fairly divide a cake among any number of people.

Computer scientists can prove certain programs to be error-free with the same certainty that mathematicians prove theorems.

Recent tests show that quantum computers made by D-Wave systems should solve some problems faster than ordinary computers. Researchers have begun to map out exactly which queries might benefit from these quantum machines.

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

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

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