High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

According to Dr. Mir Faizal, Adjunct Professor at UBC Okanagan’s Irving K. Barber Faculty of Science, and his international ...

Chinese researchers develop high-precision scalable analog matrix computing chip based on resistive memory, realizing for the first time an analog computing system whose accuracy rivals that of ...

According to the researchers, the approach uses what they call a “fingerprint matrix,” which is a mathematical description of the way each object uniquely scatters waves such as light or ultrasound.