At Google I/O (May 19, 2026), Google introduced Gemini for Science, an experimental suite of AI tools that aim to support stages of the scientific method, according to Google's I/O keynote and the company blog.
The public-facing prototypes are Hypothesis Generation, Computational Discovery, and Literature Insights, each built around Gemini-class multi-agent reasoning and linked systems described on Google's research pages.
Google Research and product posts identify Co-Scientist, Alpha Evolve, Empirical Research Assistance (ERA), and NotebookLM as components or underlying projects used to assemble the prototypes, per the Google and DeepMind blogs and the Research.Google post.
Google frames access to the prototypes as a gradual rollout: the company is making the tools available through Google Labs with a separate enterprise path via Google Cloud, per the Google blog and Digital Trends reporting.
Digital Trends also reports that a feature called Science Skills pulls insights from more than 30 major life-science databases and research tools.
At Google I/O (May 19, 2026), Google introduced Gemini for Science, an experimental suite of AI tools that aim to support stages of the scientific method, according to Google's I/O keynote and the company blog. The public-facing prototypes are Hypothesis Generation, Computational Discovery, and Literature Insights, each built around Gemini-class multi-agent reasoning and linked systems described on Google's research pages. Google Research and product posts identify Co-Scientist, Alpha Evolve, Empirical Research Assistance (ERA), and NotebookLM as components or underlying projects used to assemble the prototypes, per the Google and DeepMind blogs and the Research.Google post.
Per the Research.Google post, ERA is documented in a publication in Nature and is presented as an expert-level scientific coding assistant that can search literature, generate and optimize code, and evaluate computational experiments against defined metrics. The Google and DeepMind posts include applied examples: DeepMind's blog highlights that Co-Scientist helped identify a drug-repurposing candidate that, in reported lab tests, blocked 91% of a scarring-linked response, and documents collaborative use cases across liver fibrosis, ALS research, and cellular aging.
Google frames access to the prototypes as a gradual rollout: the company is making the tools available through Google Labs with a separate enterprise path via Google Cloud, per the Google blog and Digital Trends reporting. Digital Trends also reports that a feature called Science Skills pulls insights from more than 30 major life-science databases and research tools.
