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17 organizations using AI to accelerate scientific breakthroughs
October 14, 2026
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17 organizations using AI to accelerate scientific breakthroughs
Oct 14, 2026
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These teams are receiving a total of $36 million through the Google.org Impact Challenge: AI for Science to advance innovative AI-powered solutions to global challenges.
Maggie Johnson
Global Head and VP, Google.org
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Google.org is awarding $36 million to 17 organizations using artificial intelligence to solve critical challenges in climate, health, and foundational science. These recipients will also join a six-month accelerator program to receive technical mentorship and engineering support from Google. You can expect these teams to use these resources to scale their research and accelerate breakthroughs in areas like fusion energy, disease treatment, and environmental resilience.
Summaries were generated by Google AI. Generative AI is experimental.
Google’s "17 organizations using AI to accelerate scientific breakthroughs" highlights new, innovative research projects.
Google is awarding $36 million to 17 groups using AI for scientific discovery.
These teams will get technical mentorship and engineering support to scale their big ideas.
Projects range from predicting deadly storms to creating new treatments for complex diseases.
This funding helps experts use AI to solve urgent global challenges in record time.
Summaries were generated by Google AI. Generative AI is experimental.
Google is giving $36 million to 17 groups using AI to solve big problems in science. These teams are working on things like predicting dangerous storms, creating cleaner energy, and finding new ways to treat diseases. Google will also provide them with tech support and experts to help turn their ideas into real solutions. It’s all about using AI to make the world a better place faster than ever before.
Summaries were generated by Google AI. Generative AI is experimental.
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We’re standing at a profound inflection point in scientific discovery. AI is ushering in a new era of scientific research, from unraveling the complexities of human disease to forecasting environmental shifts. This work aims to tackle global challenges faster and more effectively than ever before, improving lives everywhere .
Earlier this year, we launched the Google.org Impact Challenge: AI for Science , an open call to organizations harnessing AI for scientific breakthroughs. We received applications across 30 countries, in fields like climate, health, and foundational science.
Today, we’re announcing the 17 selected recipient organizations, which will receive a total of $36 million in funding. Organizations can choose to participate in a six-month Google.org Accelerator, where they will receive engineering support, technical mentorship, and Google infrastructure to transform their ideas into scaled solutions. From advanced energy approaches to decoding the brain, these organizations are pushing the boundaries of scientific discovery for societal impact.
Climate resilience and environmental science
AfriClimate AI Limited is decoding the atmospheric precursors of deadly storm systems across Africa, aiming to extend flash-flood warning times from under three hours to over six hours.
Inria Chile Research Center is building a multimodal world foundation model of the ocean by creating a digital twin of Earth's marine ecosystems.
Massachusetts Institute of Technology is accelerating automated materials discovery by training AI agents to autonomously interpret experimental microscopic imagery.
Max Planck Institute for Plasma Physics in partnership with TU Eindhoven, is bridging the simulation-to-reality gap for clean fusion energy by using physics-informed AI to model chaotic conditions inside fusion reactors.
The University of Texas at Austin is developing neural network models to accelerate the design of compact fusion reactors.
UC San Diego is pioneering an agentic AI pipeline that discovers interpretable climate physics from Earth observations, builds a next-generation climate model, and decides where to collect new ocean observations.
University of Cambridge is accelerating the development of durable sodium-ion batteries by combining physics foundation models and microscopy to forecast cathode degradation.
University of Washington is designing proteins with natural language to advance sustainability applications, such as plastic degradation.
Health and life sciences
AITHYRA Research Institute , in collaboration with EPFL, is uncovering how viruses manipulate cells and creating an AI-designed protein library to discover therapeutics for undruggable proteins.
Allen Institute is designing DNA sequences that reach brain cell types more vulnerable to neurodegenerative diseases, openly sharing every model, sequence, and result.
Australian National University is leading an international collaboration to end trial-and-error chemotherapy and advance equitable precision oncology.
National University of Singapore is predicting disease impacts by mapping how genetic variants regulate RNA splicing at a population scale.
New York University Grossman School of Medicine is working to uncover unknown causes of mutations by detecting diverse types of DNA damage using AI.
University of California, Berkeley is turning black-box predictions into clear clinical biomarkers by extracting interpretable hypotheses from medical AI models.
The University of Cape Town (UCT) is developing an AI-powered platform to map genetic variation in African drug-metabolizing genes, helping guide clinical drug choices and improve treatment safety.
University of Pittsburgh is identifying genetic switches to accelerate new cardiac therapies using a novel geometric AI model to compare heart regeneration across species.
University of Toronto is enabling computer-guided therapeutic drug design by mapping the design space for peptide-based drugs with an AI foundation model.
These organizations represent an exciting range of ideas, disciplines, and approaches to some of the world’s most pressing challenges. We look forward to supporting their work and to seeing what becomes possible when scientific expertise and AI come together to tackle challenges that affect us all.
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Company newsroom — sourced from Google. Matter furnished by the company. Not a Notice Nearby paid placement.
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Read the original: https://blog.google/company-news/outreach-and-initiatives/google-org/impact-challenge-ai-science-recipients