AlphaEvolve is a new AI tool from Google that can improve all sorts of algorithms, which might make Gemini AI better.

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians since Strassen's 1969 breakthrough.

The race to deploy AI agents is heating up. At its annual I/O developer conference yesterday, Google announced that Jules, its new AI coding assistant, is now available worldwide in public beta. The launch marks the company's latest effort to corner the burgeoning market for AI agents,

Google also introduced its new Flow app that expands its video-generation toolset, and capped off the presentation with a demo of its new Android XR glasses. The company was also

Android Studio, the integrated development environment (IDE) for Android app developers, is getting an AI upgrade, Google announced at its developer conference, Google I/O 2025.

Learn how DeepMind’s AlphaEvolve evolves code with AI feedback loops, boosting efficiency in math and chip design faster than human engineers can.

Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.

The main update for 2.5 Pro from Google came early. Announced in the first week of May, this update improved Gemini 2.5 Pro’s ability to build interactive web apps. This was a major improvement on the technology, and saw a big push for vibe coding (the ability to code through AI prompts).