By integrating NVIDIA’s digital twins, foundation models and perception AI, Multiply Labs is pioneering a new era of robotic ...

As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Google is escalating its bid for AI hardware dominance. On Thursday, the company announced its most powerful custom chip, the Ironwood TPU, is now entering general availability for its cloud customers ...

SiFive’s Intelligence Gen 2 RISC-V IP portfolio combines scalar, vector, and matrix compute to accelerate AI workloads. The Gen 2 lineup includes the new X160 and X180, alongside the upgraded X280, ...

SiFive launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products designed to accelerate AI workloads across applications. The lineup includes two new products — the ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...

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 ...

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 ...