NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

From simple text generation to autonomously powering robotic arms on production lines, AI technology offers enterprises a kaleidoscope of new capabilities. So which aspects of AI advancement have ...

While Python continues to be the runaway leader in Tiobe’s monthly index of programming language popularity, C, C++, and Java are engaged in a fierce battle for second place. Currently in fifth place, ...

Some believe politics is about division: dividing voters, dividing voices, dividing people who don’t fit a mold. I believe differently. Politics, when it’s done right, is about multiplication.

Charlemagne supposedly said that to have another language is to possess a second soul. As AI quietly standardizes legal language across industries, it may be creating exactly that: a second soul for ...

After its release in late 2022, ChatGPT reached 100 million users in just two months, making it the fastest-growing consumer application in history. Since then the artificial intelligence (AI) tool ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...