Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created ...

Abstract: Two-echelon vehicle routing problem (2E-VRP) is an NP-hard combinatorial optimization problem and a basic mathematical model of modern city ... an embedded Hamiltonian graph-guided heuristic ...

This may result in an ill-conditioned estimation problem, and reduce the convergence speed of the distributed algorithms. To address this issue and improve the transient performance, we introduce a ...

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.

Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don't ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

In particular, that marathon refactoring claim reportedly comes from Rakuten, a Japanese tech services conglomerate that ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

In addition to mathematics problems, AlphaEvolve was also tested on practical problems, such as improving Google's data center efficiency and speeding up AI model training. DeepMind reports that the ...

Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance algorithms used in mathematics and ...