https://tube.ekaii.fr/videos/watch/e6a03cdb-6e6e-494f-a279-3d4197e5b287 Matrix Multiplication is critical to everything from AI training to computer graphics. With clever mathematical hacks, it's possible to outperform traditional methods by a significant margin! In this video we go over some of the latest research in matrix algorithm development, specifically the improvements to Strassen found by Johannes Kepler University in May 2025. I also write some code to convert the tensors into an easily runnable form, so you can try it out on your own CPU! Papers Cited: Consequences of the Moosbauer-Poole Algorithms: https://arxiv.org/pdf/2505.05896 Strassens Matrix Multiplication on GPUs: https://www.cise.ufl.edu/~sahni/papers/strassen.pdf Flip Graphs with Symmetry and New Matrix Multiplication Schemes: https://arxiv.org/pdf/2502.04514 AlphaEvolve: https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf Follow LaurieWired on Social Media: ►https://linktr.ee/lauriewired Timestamps 00:00 Intro 01:23 Naive Method 03:03 Strassen 05:28 Benchmarking Time Complexity 07:53 Johannes Kepler Research 10:30 New Method in Action 14:53 Rank Improvements 16:19 Limitations and Caching — mirrored from https://www.youtube.com/watch?v=xsZk3c7Oxyw Sat, 20 Jun 2026 18:55:29 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.ekaii.fr https://tube.ekaii.fr/client/assets/images/icons/icon-1500x1500.png https://tube.ekaii.fr/videos/watch/e6a03cdb-6e6e-494f-a279-3d4197e5b287 All rights reserved, unless otherwise specified in the terms specified at https://tube.ekaii.fr/about and potential licenses granted by each content's rightholder.