SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Emmanuel Onyegu said it’s always been his dream to be recognized by Guinness World Records. His mastery of math might just get him there.

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Implements the General Matrix Multiplication algorithm, Strassen's algorithm, and Coppersmith and Winograd's Algorithm. usage: matrix-multiplication [options] -a <algorithm> - select which algorithm ...

The Nasdaq Foundation's Economic Opportunity Grant Program drives impact through five key areas—regional revitalization and rural wealth building, access to capital, employee and community ownership, ...

Abstract: In modern machine learning models like Transformers, matrix multiplication dominates most computation. Specific hardware often uses large-scale PE arrays, such as systolic arrays, to ...

Logic models are a visual representation of your program. They display the resources available for your program, the short and long-term goals for your trainees and the activities that you have ...

This repository contains the artifact for the SC '25 paper submission "KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU." The NVIDIA GH200 is installed with Ubuntu 22.04 ...