Google has unveiled Gemini for Science, a new collection of AI-powered tools and experiments designed to help researchers accelerate scientific discovery, streamline research workflows, and uncover insights more efficiently across disciplines.
Built using technologies such as Co-Scientist, AlphaEvolve, Empirical Research Assistance (ERA), and NotebookLM, the initiative aims to address a growing challenge in science: the rapid expansion of global knowledge that makes it increasingly difficult for researchers to synthesize information and identify meaningful connections.
The Gemini for Science program introduces 3 experimental tools through Google Labs.
Hypothesis Generation, powered by Co-Scientist, helps researchers define scientific challenges and generate, evaluate, and refine hypotheses using a multi-agent system. The tool verifies claims and provides supporting citations.
Computational Discovery, built with AlphaEvolve and ERA, enables scientists to run and evaluate thousands of computational experiments in parallel. The platform is designed to accelerate research in complex fields such as epidemiology and solar forecasting.
Literature Insights, powered by NotebookLM, helps researchers analyze scientific papers, organize findings into searchable formats, identify research gaps, and generate reports, presentations, infographics, and multimedia summaries.
Google is also introducing Science Skills, a specialized toolkit that integrates data from more than 30 life sciences databases and resources, including UniProt, AlphaFold Database, AlphaGenome API, and InterPro. The company says the tool can reduce complex bioinformatics and genomic workflows from hours to minutes.
According to Google, early testing of Science Skills helped researchers uncover new insights into potential disease mechanisms linked to mutations in the AK2 gene.
The company is collaborating with more than 100 institutions, including Stanford University, Imperial College London, and The Crick Institute, to validate the technology. Google has also established a testing community comprising researchers, PhD students, industry experts, and Nobel laureates to assess the systems under real-world scientific conditions.
Several organizations are already using these capabilities in private preview, including BASF, Klarna, Bayer Crop Science, Daiichi Sankyo, and U.S. National Labs.
Google said access to the experimental tools will be rolled out gradually, with researchers able to register their interest through Google Labs.
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