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: Strassens Matrix Multiplication on GPUs: ~sahni/papers/ Flip Graphs with Symmetry and New Matrix Multiplication Schemes: AlphaEvolve: --- Follow LaurieWired on Social Media: ► --- 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











