Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance algorithms used in mathematics and computing. The system develops new and more complex algorithms for ...

Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created a change to the chip's Verilog hardware description language that dropped ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center ...

Google DeepMind published a paper describing their AlphaEvolve coding agent. AlphaEvolve uses LLMs to discover and optimize ...

DeepMind, however, is making the same case that many AI labs do for their systems: that AlphaEvolve can save time while freeing up experts to focus on other, more important work.

A Google DeepMind system improves chip designs and addresses unsolved math problems but has not been rolled out to researchers outside the company ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

Google’s AI R&D lab DeepMind says it has developed a new AI system to tackle problems with “machine-gradable” solutions. In experiments, the system, called AlphaEvolve, could help optimize ...