Steve Nadis

The key to preventing crashes is to know what you don’t know.

For a half century, mathematicians have tried to define the exact circumstances under which a black hole is destined to exist.

Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.

For the first time, physicists have calculated exactly what kind of singularity lies at the center of a realistic black hole.