We stand at an inflection point where the convergence of advanced AI and scientific research guarantees to unlock a latest golden age of discovery. Recognizing this, we’re pleased to support the White House’s Genesis Mission – a historic national effort to make use of AI to remodel how scientific research is conducted and speed up the speed of American science. The Genesis Mission will mobilize the U.S. Department of Energy’s (DOE) 17 National Laboratories, industry and academia to construct an integrated discovery platform, accelerating breakthroughs across the nation’s most pressing challenges including energy, scientific discovery, and national security.
At Google DeepMind, our mission is to construct AI responsibly to profit humanity. There is maybe no clearer expression of this than the applying of AI inside science. Scientists today face significant obstacles of unprecedented scale and complexity — from shaping and simulating the intricate dynamics of fusion plasma, to exploring the vast search space of recent materials, and finding a method to process and understand ever-growing volumes of knowledge and literature. Modern deep learning methods are uniquely suited to handle these challenges and compress the time latest discoveries would otherwise require.
To assist realize the ambitious vision within the Genesis Mission, Google and the DOE are partnering to support the Administration’s goal of harnessing the AI and advanced computing revolution to dramatically expand the productivity and impact of American research and innovation inside a decade. We see this as the start of a permanent partnership in AI for Science that we’ll look to grow and expand within the months and years ahead.
Putting our advanced AI tools into the hands of American scientists
Google DeepMind will provide an accelerated access program for scientists in any respect 17 DOE National Laboratories to our frontier AI for Science models and agentic tools, starting today with AI co-scientist on Google Cloud. AI co-scientist is a multi-agent virtual scientific collaborator built on Gemini, which is trained on Google’s world class TPUs. This method is designed to assist scientists synthesize vast amounts of knowledge to generate novel hypotheses and research proposals, and speed up the pace of scientific and biomedical discoveries.
AI co-scientist is already showing its potential across diverse biomedical applications. It proposed novel drug repurposing candidates for liver fibrosis that were validated through laboratory experiments and predicted complex antimicrobial resistance mechanisms that matched experiments before they were even published, demonstrating the potential to speed up hypothesis development from years to days. It’s also showing early promise in additional fields like physics, chemistry, computer science, and more.
In early 2026, we’ll expand our accelerated access program for National Laboratories to incorporate:
- AlphaEvolve – a Gemini-powered coding agent for designing advanced algorithms that’s showing incredible promise for application across many areas in computing and math and, we consider, could possibly be transformative across many more areas corresponding to material science, drug discovery and energy. For instance, AlphaEvolve enhanced the efficiency of Google’s data centers, chip design and AI training processes — including training the big language models underlying AlphaEvolve itself.
- AlphaGenome – an AI model to assist scientists higher understand the non-coding a part of DNA, speeding up research on genome biology and improving disease understanding. With more data on plant genomes, AlphaGenome could potentially be prolonged to assist improve crop resistance and other applications including sustainable biofuels and advanced biomaterials.
- WeatherNext – a state-of-the-art family of weather forecasting models. Our partnership with the U.S. National Hurricane Center already supports their cyclone forecasts and warnings, helping communities prepare for disasters earlier.
DOE and all National Laboratories can also access Gemini for Government, which brings together one of the best of Google’s AI-optimized and accredited industrial cloud with our industry-leading Gemini models – including our most intelligent model Gemini 3 with state-of-the-art reasoning capabilities and multimodal understanding.
We’re excited to see what America’s leading researchers will have the option to do with our frontier AI models and agentic tools.
A history of collaboration for scientific progress
We have seen what’s possible when industry-leading technology can construct upon the work of the National Laboratories. The foundational work by DOE’s Brookhaven National Laboratory on the Protein Data Bank was crucial for the event of AlphaFold, our AI system that may predict the 3D structure of proteins, the event of which was recognized through Demis Hassabis and John Jumper’s co-award of the 2024 Nobel Prize in Chemistry. The AlphaFold Protein Database has now been utilized by greater than three million scientists in over 190 countries to speed up research, from effective malaria vaccines to groundbreaking gene therapies.
Looking ahead
Through the Genesis Mission, we’ll be accelerating American scientific leadership by also exploring research collaborations with National Laboratories in areas including fusion energy, latest materials discovery and earth science.
The challenges facing our world—from energy to disease to security—demand unprecedented scientific innovation. By combining human ingenuity with advanced AI capabilities, we consider we can assist America’s scientists achieve discoveries that might have seemed inconceivable just years ago.
