
By doubling their entire genome, organisms can evolve extremely rapidly — or they can lose it all. New studies reveal how to survive the high-risk, high-reward evolutionary event.

Mathematicians found that a broad class of networks will abruptly shift behavior past a critical point.

The theoretical side of the field doesn’t require computing machines. But many questions would never have been posed without them.

To explore quantum phenomena, we must leave the familiar world and enter the abstract realm of Hilbert space.

An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.

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

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.

No one yet knows which technology will power the quantum computers of the future, but the race to create them has already produced some of science’s most intricate machinery.

From the 1800s to the early 2000s, physicists used the same theory to understand the behavior of fluids. Now, using a modern insight, they have redefined fluids from the bottom up.

By deciphering the molecular signatures of millions of mouse cells, Junyue Cao has found that aging is not haphazard wear and tear but rather a “remodeling of the cell society. ”

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

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

A global constellation of neutrino detectors is creating a never-before-seen view of the radioactive elements that power Earth’s tectonic heat engine.