AlphaEvolve Improves Matrix Multiplication Complexity Bound
PetarV_93 · x · 2026-08-18
AlphaEvolve was applied to the famous matrix multiplication exponent problem. Combined with modern optimization, the research achieved a new upper bound of ω < 2.371177, improving on the previous 2.371339, marking a milestone for AI in algorithmic discovery.
Related event: DeepMind's AlphaEvolve Sets New Matrix Multiplication Exponent Record(6 posts)→
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