Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Abstract: We demonstrate an optical general matrix multiplication using incoherent light source and wavelength multiplexing to multiply two two-dimensional matrices with positive and negative elements ...

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 ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

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 ...

Abstract: Sparse matrix-matrix multiplication is a critical kernel for several scientific computing applications, especially the setup phase of algebraic multigrid. The MPI+X programming model, which ...

Meta is now using the Threads.com domain name for its X competitor Threads. Credit: Arda Kucukkaya/Anadolu Agency via Getty Images Threads, Meta's alternative to X, formerly Twitter, had almost ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The Consumer Product Safety Commission is urging consumers to stop using the Inse S6P Pro and S6T Cordless Stick Vacuums immediately, warning that the vacuums’ lithium-ion battery packs can overheat ...

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 ...