Some of the hardest questions in cosmology begin where the usual math gives up. Push Einstein’s theory far enough back toward ...
He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
By taking general relativity into higher dimensions, a trio of physicists has proven that a mathematical pattern of ripples in space-time geometry could give rise to naked singularities and ...
The math world is losing its mind over the new solution to an Erdős problem. This is what AI found, how we missed it—and why it matters.
For decades, one of the biggest questions in cosmology has remained frustratingly out of reach: what, if anything, existed ...
These are math’s most famous open questions. Solve one, and you’ll win a $1-million prize—but it’s only happened once since ...
A quantitative approach for linking baseline sample size to statistics provides a statistically justified basis for ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...
Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...