A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Two computer science graduates at Rochester Institute of Technology are helping to demystify mathematics with a search engine specifically made for sophisticated math. David Stalnaker and Nidhin ...

A Rochester Institute of Technology Ph.D. student was part of a team of researchers that settled a 90-year-old math problem called Keller’s conjecture. David Narváez, a computing and information ...

The new bachelor’s degree brings together essential elements of both mathematics and computing training and includes the applications of mathematical theories relevant to computing and data, as well ...

AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.

Growth and change in technology have brought a boom in the availability of data and the need for people to shape technologies. Growing areas like machine learning require expertise in programming, ...

Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

A company that produces software for math computing has developed an online environment for teaching and learning math. Maplesoft's new Maple Learn allows for high school- and college-age students to ...