<ul><li>Google DeepMind introduced AlphaEvolve, an AI system combining language models with evolutionary algorithms for mathematical discovery.</li><li>AlphaEvolve contributed to resolving the Kissing Number problem, raising the lower bound from 592 to 593 in an 11-dimensional space.</li><li>The AI system enhanced Strassen's matrix multiplication algorithm, reducing the number of operations required from O(n^3) to O(n².81), leading to significant performance gains in AI and big data processing.</li><li>AlphaEvolve utilizes reinforcement learning and evolutionary search to discover more efficient methods for matrix multiplication, improving algorithms via mechanisms like mutation, crossover, and natural selection.</li></ul>

AlphaEvolve: where language models meet mathematical discovery

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