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Machine learning works spectacularly well, but mathematicians aren’t quite sure why.
Three computer scientists have solved a problem central to a dozen far-flung mathematical fields.
Scientists are homing in on a warning signal that arises in complex systems like ecological food webs, the brain and the Earth’s climate. Could it help prevent future catastrophes?
A theorem for coloring a large class of “perfect” mathematical networks could ease the way for a long-sought general coloring proof.
By examining regions shared between some of nature’s most variable genes, malaria researchers are piecing together an understanding of a deadly parasite.
Complex natural systems defy analysis using a standard mathematical toolkit, so one ecologist is throwing out the equations.
Using crowd-sourced and traditional mathematics research, Terence Tao has devised a solution to a long-standing problem posed by the legendary Paul Erdős.
A major advance in computational complexity reveals deep connections between the classes of problems that computers can — and can’t — possibly do.
In the drive to safeguard data from future quantum computers, cryptographers have stumbled upon a thin red line between security and efficiency.
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