Google introduced Gemini for Science, a new collection of AI-powered scientific tools and experiments designed to accelerate discovery and support researchers across disciplines. The initiative combines multiple Google DeepMind technologies, including Co-Scientist, AlphaEvolve, Empirical Research Assistance (ERA), and NotebookLM, to streamline key parts of the scientific method.
The company said Gemini for Science is intended to help researchers navigate the growing complexity of scientific knowledge by enabling faster hypothesis generation, computational experimentation, and literature analysis. Google described the tools as “a force multiplier for human ingenuity,” helping scientists focus on high-impact research directions rather than time-intensive manual workflows.
The Gemini for Science experimental tools on Google Labs currently include three primary prototypes.
Hypothesis Generation, powered by Co-Scientist, is designed to help researchers synthesize massive volumes of scientific literature and generate new research ideas. The system simulates the scientific method through a multi-agent “idea tournament” that generates, debates, evaluates, and verifies hypotheses with supporting citations.
Computational Discovery, built using AlphaEvolve and ERA, functions as an agentic research engine capable of generating and testing thousands of code variations in parallel. Google said this allows scientists to explore novel modeling approaches for areas such as solar forecasting and epidemiology much faster than traditional methods.
Literature Insights, powered by NotebookLM, helps researchers analyze scientific papers by organizing literature into searchable tables and enabling conversational analysis across curated corpora. The tool can also generate reports, slide decks, infographics, and multimedia summaries.
Google said access to the Gemini for Science experiments will roll out gradually through Google Labs.
Beyond the research prototypes, Google also announced enterprise-grade scientific AI solutions through Google Cloud. According to the company, organizations including BASF and Klarna are already using AlphaEvolve in private preview to optimize supply chains and machine learning models. Google added that organizations such as Daiichi Sankyo, Bayer Crop Science, and the U.S. National Labs participating in the Department of Energy’s Genesis Mission are using Co-Scientist to accelerate scientific research.
Google also revealed that research papers related to ERA and Co-Scientist were published in Nature.
As part of the Gemini for Science initiative, Google launched Science Skills, a specialized bundle integrating more than 30 life science databases and tools, including AlphaFold Database, AlphaGenome API, UniProt, and InterPro. Science Skills is designed to work with Google Antigravity, enabling researchers to complete workflows such as structural bioinformatics and genomic analysis in minutes rather than hours.
According to Google, early internal testing using Science Skills led researchers to discover potential mechanisms tied to a rare genetic disease associated with AK2 gene mutations.
The company said it is collaborating with more than 100 institutions to validate the new systems, including Stanford University, Imperial College London, and The Francis Crick Institute. Google also noted partnerships with scientific conferences such as International Conference on Machine Learning, Symposium on Theory of Computing, and Neural Information Processing Systems to develop tools for AI-assisted peer review and scientific validation.
Google positioned Gemini for Science as part of a broader ecosystem of AI-powered scientific tools that already includes AlphaFold, AlphaGenome, Google Scholar, Earth Engine, Colab, MedGemma, Earth AI, and Gemini Deep Research.
KEY QUOTES:
“For centuries, the scientific method has been the greatest engine of human progress. At Google, our mission is deeply rooted in building tools to accelerate it. We believe that a new era of discovery won’t come from narrow, specialized models, but general agents that empower researchers across every scientific field.”
“Today science faces a paradox: our collective knowledge is growing so fast that it’s becoming harder for individual scientists to see the full picture. Scientific breakthroughs often rely upon making creative connections between data, but the time required to do this manually can take weeks or even months.”
Pushmeet Kohli, Chief Scientist, Google Cloud and Vice President, Google DeepMind
“As we explore the future of agentic research together, we continue to work towards a future where AI accelerates scientific progress and helps solve our most pressing societal challenges.”
Yossi Matias, Vice President, Google and General Manager, Google Research
