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AlphaEvolve is an evolutionary AI coding agent developed by Google DeepMind, designed to autonomously discover and optimize complex algorithms across various domains. Leveraging the capabilities of Gemini 2.5 Flash and Pro models, AlphaEvolve employs an ensemble approach that balances computational throughput with solution quality. It utilizes an evolutionary framework where large language models generate candidate algorithms, which are then evaluated and refined through automated processes. This system has achieved notable successes, including surpassing the 56-year-old Strassen algorithm for matrix multiplication and optimizing data center scheduling, leading to significant efficiency gains. AlphaEvolve's ability to generate provably novel and correct algorithms marks a significant advancement in AI-driven scientific discovery.

AlphaEvolve

alphaevolve

A Gemini-powered AI coding agent that autonomously discovers and optimizes complex algorithms.

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

ToRA

tora

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.