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AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms

New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators

Beyond performance gains, AlphaEvolve significantly reduces the engineering time required for kernel optimization, from weeks of expert effort to days of automated experiments, allowing researchers to innovate faster. AlphaEvolve was developed by Matej Balog, Alexander Novikov, Ngân Vũ, Marvin Eisenberger, Emilien Dupont, Po-Sen Huang, Adam Zsolt Wagner, Sergey Shirobokov, Borislav Kozlovskii, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, and Pushmeet Kohli. We gratefully acknowledge contributions, advice, and support from Jean-Baptiste Alayrac, Ankit Anand, Natasha Antropova, Giorgio Arena, Mohammadamin Barekatain, Johannes Bausch, Henning Becker, Daniel Belov, Alexander Belyaev, Sebastian Bodenstein, Sebastian Borgeaud, Calin Cascaval, Indranil Chakraborty, Benjamin Chetioui, Justin Chiu, Christopher Clark, Marco Cornero, Jeff Dean, Gaurav Dhiman, Yanislav Donchev, Srikanth Dwarakanath, Jordan Ellenberg, Alhussein Fawzi, Michael Figurnov, Aaron Gentleman, Bogdan Georgiev, Sergio Guadarrama, Demis Hassabis, Patrick Heisel, Chase Hensel, Koray Kavukcuoglu, Sultan Kenjeyev, Aliia Khasanova, Sridhar Lakshmanamurthy, Sergei Lebedev, Dmitry Lepikhin, Daniel Mankowitz, Andrea Michi, Kieran Milan, Vinod Nair, Robert O'Callahan, Cosmin Paduraru, Stig Petersen, Federico Piccinini, Parthasarathy Ranganatha, Bernardino Romera-Paredes, Georges Rotival, Kirk Sanders, Javier Gomez Serrano, Oleg Shyshkov, Timur Sitdikov, Tammo Spalink, Kerry Takenaka, Richard Tanburn, Terence Tao, Amin Vahdat, JD Velasquez, Dimitrios Vytiniotis, Julian Walker, and Pengming Wang.

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