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 ...

The belief that we are living in a Matrix-like simulation has has grown traction in recent years, but boffins believe they ...

A. Varga, Robust pole assignment via Sylvester equation based state feedback parametrization, Proceedings of the 2000 IEEE International Symposium on Computer-Aided Control System Design, Alsaka, USA, ...