For the first time in 30 years, computer scientists have found a better way to allocate objects evenly between two groups.

From the 1800s to the early 2000s, physicists used the same theory to understand the behavior of fluids. Now, using a modern ...

No one yet knows which technology will power the quantum computers of the future, but the race to create them has already ...

A simple scaling law brings order to the chaos of flowing water, rock, and sediment. New findings have extended the law even ...

Neuroscientist Erich Jarvis discusses how the brain circuitry for vocal learning in songbirds and humans evolved from systems for controlling body movements and why so few species have this ability.

By deciphering the molecular signatures of millions of mouse cells, Junyue Cao has found that aging is not haphazard wear and ...

Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition. Building a ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture. The ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, researchers have found a slew of new candidates in simpler versions of the ...

Three years ago, Google’s AlphaFold pulled off the biggest artificial intelligence breakthrough in science to date, accelerating molecular research and kindling deep questions about why we do science.

The math, which combines chaos, quantum theory, and infinitely complex fractal structures, has been called a “foundational result.” ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they may be converging toward a singular “Platonic” way to represent the world.