Abstract: General sparse matrix–matrix multiplication (SpGEMM) is integral to many high-performance computing (HPC) and machine learning applications. However, prior field-programmable gate array ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

(RTTNews) - Novavax, Inc. (NVAX) announced Tuesday progress on its collaboration and license agreement (CLA) with Sanofi SA (SNY) regarding Novavax's Matrix-M adjuvant. The companies have amended ...

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 ...

The Matrix Model, developed by the Matrix Institute (now CLARE|MATRIX), is one of the few treatment models specifically designed to address the needs of individuals with stimulant-use disorders. This ...

A new study has shown how aspects of brain function change with age, revealing that excitatory processes in the brain decrease, while inhibitory processes increase as children get older. The findings ...

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 ...

Modern technology has made diagnosing vehicular issues much easier than ever before. Using an OBD2 (On-Board Diagnostics II) scanner is a relatively simple process that can provide crucial information ...

Toss Out Your Clunky Scanner and Use Your Phone Instead Scan and edit articles, receipts, personal documents and much more with this mobile scanner app deal that's 79% off.

Abstract: The problem of straggler mitigation in distributed matrix multiplication (DMM) is considered for a large number of worker nodes and a fixed small finite field. Polynomial codes and matdot ...