Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

NYC Solves has faced criticism from educators for assuming kids have mastered skills, leaving some lost and frustrated.

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

These conversations reveal how top practitioners are adapting strategy as platforms prioritize automation over transparency.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Abstract: In this article, two types of problems: 1) unconstrained and 2) constrained optimization are solved by developing a class of distributed predefined-time algorithms under dynamic event ...

Deanna Needell has received funding from the National Science Foundation and the Congressionally Directed Medical Research Programs (US). Kristine Bauer receives funding from NSERC to support her ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Mathematics is, at its core, an art. Like painters, musicians or writers, mathematicians create and explore new worlds. They test, and then push past, the limits of their imagination. They engage with ...