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 ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

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

One way AI can improve on human work Computer scientists at UC Berkeley say that AI models show promise as a way to discover ...

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.