Abstract: By separating huge dimensional matrix-matrix multiplication at a single computing node into parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes, coded ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Researchers have built a computer that performs complex AI calculations in a single pass of light, completing what today’s fastest AI chips need multiple steps to accomplish. The breakthrough promises ...

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 ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

Collier Jennings is an entertainment journalist with a substantial amount of experience under his belt. Collier, or "CJ" to his friends and family, is a dedicated fan of genre films - particularly ...

Eoin is a writer at GameRant. He is a film fanatic and journalist living in London, with experience at multiple publications and festivals including the Venice Biennale. He's a passionate writer and ...