Google just made AlphaEvolve generally available on Google Cloud. Built on top of Gemini, the agent autonomously navigates vast algorithmic search spaces through a four-step evolutionary loop to optimize production code in logistics, chip design, and HPC. Why it matters: Teams can now automate tough algorithmic breakthroughs that were once too complex or time-consuming for human engineers to tackle manually.
Google just launched Gemini for Science, a new suite of agentic research tools on Google Labs designed to supercharge the scientific method. The prototypes handle multi-agent hypothesis debates, parallel code generation for computational experiments, and literature synthesis via NotebookLM. Two accompanying research papers were published in Nature.
Google DeepMind just unveiled AlphaEvolve, an evolutionary coding agent powered by Gemini that designs and optimizes complex algorithms. It has already reclaimed 0.7% of Google's global data center compute, accelerated key AI kernels by up to 32.5%, and improved decades-old math records like Strassen's matrix multiplication. Academic early access is currently in the works.
