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Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.
In a Paris lab, researchers have shown for the first time that quantum methods of transmitting information are superior to classical ones.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.
Simple physical principles can be used to describe how rivers grow everywhere from Florida to Mars.
On November 16, 2018, more than 200 readers joined writers and editors from Quanta Magazine for a wide-ranging panel discussion that examined the newest ideas in fundamental physics, biology and mathematics research.
How does evolution select the fittest “individuals” when they are ecosystems made up of hosts and their microbiomes? Biologist debate the need to revise theories.
Through exacting geometric calculations, Philip Gibbs has found the smallest known cover for any possible shape.
Using a new CRISPR-based technique, researchers are examining how the position of DNA within the nucleus affects gene expression and cell function.
A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.