Google launches Gemini for Science with AI tools to streamline scientific research workflows

Google debuts AI-powered tools to optimize scientific research workflows - Engadget

Three new features will be available under the Gemini for Science collection. As society helplessly watches tech giants infuse AI into everything, Google has at least introduced some new AI-powered tools that could help with the arduous work associated with scientific discovery. During Google I/O 2026, the tech giant announced Gemini for Science, a collection of experimental tools that can help researchers generate hypotheses, conduct testing and understand scientific literature. Gemini for Science includes three primary features: Hypothesis Generation, Computational Discovery and Literature Insights. As the name suggests, Hypothesis Generation will help the first few steps of the scientific method by digging through millions of scientific papers to come up with theories or challenges. That's all to say the tool will help a researcher create a hypothesis, but Google added that the claims generated by this tool are "deeply verified and supported by clickable citations" for "absolute rigor." Once a hypothesis is created, researchers can move on to the Computational Discovery tool to put the theory to the test. Google describes this tool as "an agentic search engine" that can generate thousands of tests and experiments much faster than when done manually. Lastly, Gemini for Science will have Literature Insights, an AI-powered chat that looks through scientific literature for researchers and generates more digestible versions through reports, infographics or even audio and video overviews. As part of Gemini for Science, Google is also launching its Science Skills tool, which can scour insights from more than 30 major life science databases and tools so researchers can "perform complex and often manual workflows ... in minutes rather than hours." Google said it's gradually opening up access to these experimental Gemini for Science tools starting today. Anyone interested in these AI features can fill out a form on the Google Labs website, but Google will also be offering them to enterprise organizations with Google Cloud.

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

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. That's why we are introducing Gemini for Science, a collection of science tools and experiments designed to expand the scale and precision of scientific exploration. 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. AI can help eliminate this bottleneck and serve as a force multiplier for scientific work by handling complex tasks. This allows researchers to focus on identifying and tackling the most impactful scientific problems and directions that would drive progress. Gemini for Science experimental tools on Google Labs include three primary prototypes designed to handle such tasks. Starting today, we'll begin gradually opening access to these experiments. Visit labs.google/science to register your interest. Beyond the individual experiments, we're also bringing these advanced AI capabilities to enterprise organizations through Google Cloud. Our enterprise-grade solutions for scientific and industrial R&D are already being used by a range of partners in private preview to drive real-world impact. Companies like BASF are using AlphaEvolve to optimize their supply chains, and Klarna is leveraging it to enhance their machine learning models. In parallel, organizations like Daiichi Sankyo, Bayer Crop Science and the U.S. National Labs (as part of the U.S. Department of Energy's Genesis Mission) are using Co-Scientist to accelerate their research and tackle fundamental scientific challenges. These enterprise-grade tools are demonstrating significant value in their current preview phase. We are excited about the breakthroughs our partners are unlocking and look forward to expanding access to more organizations in the coming months. Several validation papers have been already published based on these and other tools. The ERA and Co-Scientist research papers are published today in Nature. As part of Gemini for Science, we are also launching Science Skills, a specialized bundle that integrates insights from over 30 major life science databases and tools including UniProt, AlphaFold Database, AlphaGenome API and InterPro. Using these skills on agentic platforms like Google Antigravity allows researchers to perform complex and often manual workflows like structural bioinformatics and genomic analyses in minutes rather than hours. Our research teams using Science Skills have already seen this speedup in practice. In early testing, our team used Science Skills to perform a complex analysis that normally takes hours in minutes. This led to novel insights about potential mechanisms for a rare genetic disease caused by mutations in the AK2 gene.