ST. LOUIS – Missouri teenagers are facing increasing drug risks, but the Annie Malone SAFER program is offering a prevention-focused solution that has shown promising results. According to the ...

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 ...

NPR speaks with C-SPAN CEO Sam Feist about the channel's unfiltered coverage of government and about "Ceasefire," a new weekly program he's launching that brings lawmakers to the table. Just about ...

MANSFIELD — Sending one child to college in the fall is expensive enough. Imagine sending triplets. Residents Richard and Sarah Gay are getting a little help, though. Their three daughters were named ...

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 (SpMM) is a fundamental operation in neural networks and high performance graph algorithms. Most popular solutions to S pMM adhere to ahead-of-time (AOT) ...

Stephen Dowd had been living homeless in Seattle for more than a year and a half, using fentanyl, when he was swept up in an Uber near Dick’s Drive-In in Uptown and driven to a treatment center in ...

DES MOINES — The NAIA national wrestling tournament starts on Thursday, and as usual, Grand View will be well-represented. John Sears has the story of a family of Vikings that are keeping the ...

This project focuses on lossless compression techniques optimizing space, time, and energy for multiplications between binary (or ternary) matrix formats and real-valued vectors.