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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.
Emerging evidence suggests that the brain encodes abstract knowledge in the same way that it represents positions in space, which hints at a more universal theory of cognition.
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.
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.
Simple physical principles can be used to describe how rivers grow everywhere from Florida to Mars.
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.