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

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 ...

🔥 Patent Update | The State Grid Shanghai Energy Internet Research Institute has recently applied for a new patent titled "A Method and Device for Multi-Objective Heuristic Power Flow Equation Matrix ...

A new algorithm for reducing the bandwidth and profile of a sparse matrix is described. Extensive testing on finite element matrices indicates that the algorithm typically produces bandwidth and ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

A new paper develops a structured tool to evaluate the challenges surrounding artificial intelligence's accountability and ...

In this week's It’s Debatable article, Rick Rosen and Charles Moster debate whether we're all living in a computer simulation like the Matrix.