OpenAI just unveiled a new playbook for handling AI discoveries that humans can barely understand. The company announced ...

Phase transitions are strongly constrained by spatial dimension. In conventional one-dimensional systems with short-range ...

A 14-year-old student from Williamsburg, Virginia, has become one of 30 finalists in a national science competition after ...

She was in eighth grade when she started. Six months later, a student from Williamsburg, Virginia, had a method for placing ...

This article is long. However, to make it worth revisiting, I have provided three guideposts. Guidepost 1: Confidence Labels ...

A decade-long effort at ETH Zurich and TU Darmstadt has distilled empirical performance modeling into a Python tool that ...

A mathematical model predicts that competition among mobile genetic elements can lead to low-cost host-benefiting defenses or ...

AI’s solution to the Navier-Stokes problem, and the details of how it happened, preview a chaotic future for math—and the ...

Operational definitions have long been a core approach to measuring and relating observed data to theoretical constructs in psychological science. However, many contemporary modeling approaches ...

Classical Turing analysis locates diffusion-driven instability boundaries directly when coefficient functions are known. We ask a narrower question: how accurately can such a boundary be extrapolated ...

As AI churns out mathematical proofs, a DeepMind study raises a bigger question: What do we lose when we focus only on the ...