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 ...

CSCA 5632: Unsupervised Algorithms in Machine Learning CSCA 5632: Unsupervised Algorithms in Machine Learning Get a head start on program admission Preview this course in the non-credit experience ...

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 ...

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.