MALVERN, Pa., Sept. 02, 2025 (GLOBE NEWSWIRE) — YPrime, a proven leader in clinical trial technology, today announced it has been recognized as a Leader in the Everest Group’s Life Sciences Electronic ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

This project implements a matrix multiplication system using POSIX threads in C. The program offers both single-threaded and multi-threaded approaches to matrix multiplication, allowing users to ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

A new technical paper titled “Scalable MatMul-free Language Modeling” was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. “Matrix multiplication (MatMul) typically dominates ...

Abstract: This paper presents ternary systolic array archi-tecture for matrix multiplication for ternary neural networks and image processing algorithms in ternary logic. As part of the architecture, ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...