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 company, which is called Hiverge, emerged from stealth today with $5 million in seed funding, led by Flying Fish Ventures ...

The 'algorithm for calculating the matrix product' that AlphaTensor worked on this time is used in various fields related to daily life, such as image processing, game graphics processing, weather ...

Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized ...

Machine learning research is progressing at an ever-faster pace. We are likely still decades away from reaching the singularity, but AI has already become the buzzword that every tech company is ...

For most of us here in the 21st century, our memories of learning the times tables have become something of a running joke. “You won’t have a calculator in your pocket every day as an adult,” we were ...

A simple matrix formula is given for the observed information matrix when the EM algorithm is applied to categorical data with missing values. The formula requires only the design matrices, a matrix ...

Computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry. Rice University computer scientists have overcome a major obstacle in the burgeoning artificial ...