Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Modeling how cars deform in a crash, how spacecraft responds to extreme environments, or how bridges resist stress could be made thousands of times faster thanks to new artificial intelligence that ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

An engineering student refined a century-old math problem into a simpler, more elegant form, making it easier to use and explore. Divya Tyagi's work expands research in aerodynamics, unlocking new ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...