Gemini for Science: AI experiments and tools for a new era of discovery

This post introduces Gemini for Science, a collection of science tools and experiments. It highlights three primary prototypes: Hypothesis Generation (built with Co-Scientist), Computational Discovery (built with AlphaEvolve and ERA), and Literature Insights (built with Google NotebookLM). Computational Discovery is described as an agentic research engine that generates and scores thousands of code variations in parallel to test novel modeling approaches. The post also mentions the integration of these capabilities into Google Cloud for enterprise organizations and the launch of Science Skills for life science databases.