We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

According to Google DeepMind, AlphaEvolve has successfully discovered multiple new algorithms for matrix multiplication, surpassing the previous AlphaTensor model in efficiency and performance (source ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

In this paper, we build a library for matrix-matrix multiplication algorithm based on the SiLago framework as a case study because matrix-matrix multiplication is a fundamental operation in scientific ...

It may seem like an obscure problem, but matrix multiplication is a fundamental computational operation. It’s incorporated into a large proportion of the algorithms people use every day for a variety ...

All Algorithms implemented in Python. Contribute to joshmorenx/Python-all-algorithms development by creating an account on GitHub.

Since then, a point of intrigue for data scientists has been whether more efficient algorithms are possible—particularly because most dense matrix multiplication algorithms use non-Strassen methods.

Video: DeepMind researchers trained an AI system called AlphaTensor to find new, faster algorithms for matrix multiplication. AlphaTensor quickly rediscovered — and surpassed, for some cases — the ...