Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

In 1946, the mathematician Paul Erdős posed the unit distance problem—and suggested a winning strategy. An A.I. model has now ...

Methods for solving partial differential equations have progressed from analytical solutions to numerical simulations and, ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...

In a major breakthrough, scientists have experimentally confirmed a universal growth law in two dimensions using a quantum system of fleeting light–matter particles. The finding strengthens the idea ...

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

In this video I work through 14 different examples of solving multi-step equations so that you don't have to. You can sit back, relax, and see how it is done. When solving multi-step equations, our ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. In 1997, Deep Blue, a supercomputer built by IBM, did the unexpected: it defeated chess ...

Abstract: A discrete-time distributed algorithm to solve a system of linear equations Ax = b is proposed with M-Fejer mappings. The algorithm can find a solution of Ax = b from arbitrary ...

Last December, several members of a national organization for math education leaders came together to issue a warning. A growing movement in the field, they claimed, was calling on schools to adopt an ...