Find out how AlphaEvolve has gone from research to solving real-life problems.

A year ago, we introduced AlphaEvolve, a Gemini-powered evolutionary algorithm agent that iteratively discovers optimized algorithms for complex problems. It’s advanced decades-old math problems, and now it’s helping tackle major global challenges, too.

Over the past year, AlphaEvolve has become a powerful engine for scientific and societal progress. It helped improve DNA sequencing error correction, increased the accuracy of disaster predictions and demonstrated the potential to stabilize power grids in simulations. It’s also accelerating scientific discovery, helping researchers run complex molecular simulations and unlocking new insights in neuroscience.

Beyond research, AlphaEvolve is driving real business results. It’s making Google’s own infrastructure more efficient and helping Google Cloud customers improve their machine learning models, accelerate drug discovery, improve supply chains and optimize warehouse design. In the future, we plan to expand these capabilities to reliably bring the power of self-improving algorithms to even more real-world challenges.

Learn more about AlphaEvolve on the Google DeepMind blog.

- Pushmeet Kohli, Chief Scientist, Google Cloud & Vice President, Google DeepMind

-Amin Vahdat, SVP and Chief Technologist, Google Cloud