Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

"PICASSO will revolutionize photonic circuit architectures, from compute to light detection and ranging, by expanding the field’s focus from individual components to include a more holistic circuit- ...

Abstract: This paper addresses the gradient coding and coded matrix multiplication problems in distributed optimization and coded computing. We present a computationally efficient coding method which ...

Europe is struggling to address long-standing problems, political and business leaders told CNBC on the sidelines of the Ambrosetti Forum. A lack of competitiveness, bureaucracy and regulatory ...

Four Wappingers elementary students are multiplying up to 384-digit numbers in school. These students, who are in the district's math enrichment program, are getting creative with math theory to solve ...

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 ...

Transformer Weekly: Automated AI R&D, a regulatory moratorium, and deals with the Middle East ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...