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 ...

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.

In essence, it is a self-evolving AI. DeepMind has already used AlphaEvolve to tackle data centre energy use, design better chips, and speed up AI training. Here are five of its top feats so far.

Google's DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve ...

Google DeepMind’s AlphaEvolve Trains Itself to Create Advanced Algorithms Your email has been sent Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance ...

Learn more Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside ...

Alphabet Inc.’s Google DeepMind unit today detailed AlphaEvolve, an artificial intelligence agent that can tackle complex programming and math challenges. The company says that it has used ...

Google's AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson in production-grade agent engineering. Discover its architecture & essential takeaways for your ...

In experiments, the system, called AlphaEvolve, could help optimize some of the infrastructure Google uses to train its AI models, DeepMind said. The company says it’s building a user interface ...

To benchmark AlphaEvolve, DeepMind had the system attempt a curated set of around 50 math problems spanning branches from geometry to combinatorics. AlphaEvolve managed to "rediscover" the best ...