Scientific discovery has long been the engine of human progress. Yet as global challenges grow more complex—from disease and food security to climate change and biodiversity loss—the rate of breakthrough innovation has paradoxically slowed. Bridging that gap is the ambition behind Google.org’s $20 million AI for Science Fund, designed to help researchers achieve in years what once took decades.

Google.org announced the twelve inaugural recipients of the fund: academic institutions, nonprofits, and startups applying advanced artificial intelligence to some of the hardest problems in modern science. Beyond accelerating discovery, all selected organizations share a commitment to open science, with projects expected to generate open-source datasets, tools, and methodologies that can benefit the global research community far beyond their original scope.

Decoding Life and Health With Predictive AI

The explosion of biological data has outpaced traditional methods of analysis, slowing progress in medicine. Five funded projects are using AI to transform biology into a more predictive, preventive, and precise science.

• UW Medicine is applying its Fiber-seq technology to create long-read maps of the 99% of the human genome that remains poorly understood—work that could reveal the genetic roots of rare diseases.
• Cedars-Sinai Medical Center is developing BAN-map, an AI-guided system that analyzes neural data and dynamically adjusts experiments in real time, helping decode the mechanisms of thought and memory under tight laboratory constraints.
• Technical University of Munich is building a multiscale foundation model that links cellular activity to whole-organ behavior, allowing clinicians to digitally simulate disease progression and test therapies before applying them to patients.
• Infectious Disease Institute Makerere University is leveraging AI frameworks such as EVE and AlphaFold to predict how malaria parasites evolve, enabling faster detection of drug resistance.
• Spore.Bio is reimagining microbiology with an AI-powered scanner capable of detecting dangerous, drug-resistant bacteria in under an hour—down from days using conventional methods.

Reinventing Global Food Systems

With climate change and population growth placing unprecedented strain on agriculture, several recipients are using AI to make food systems more resilient, nutritious, and sustainable.

• The Sainsbury Laboratory is launching Bifrost, a platform that uses AlphaFold3 to predict how plant immune receptors interact with pathogens directly from genome sequences, accelerating the breeding of disease-resistant crops.
• Periodic Table of Food Initiative is building an AI-driven system to map the “dark matter” of food—thousands of unknown molecules that influence nutrition and flavor—laying the groundwork for healthier diets.
• Innovative Genomics Institute is decoding cow microbiomes with AI to identify gene interactions that can be edited to significantly reduce methane emissions from livestock.

Protecting Biodiversity and Planetary Resilience

As human activity accelerates environmental degradation, AI is emerging as a critical tool for understanding and protecting the planet’s life-support systems.

• The Rockefeller University is modernizing genome sequencing pipelines with AI-driven data curation, accelerating the creation of high-quality genomic references for the planet’s 1.8 million known species.
• UNEP-WCMC is addressing global “data deserts” by using large language models to scan millions of scientific records, producing the most comprehensive distribution map to date of the world’s 350,000 known plant species.
• Swiss Plasma Center EPFL is standardizing fusion energy data worldwide, enabling AI models to learn from collective experiments and accelerating progress toward reliable, carbon-free energy.
• University of Liverpool is pioneering a Hive Mind approach that connects autonomous lab robots, human scientists, and AI agents to discover new materials for large-scale carbon capture.

From Acceleration to Impact

Taken together, the AI for Science Fund reflects a broader shift in how discovery happens: from isolated breakthroughs to collaborative, AI-augmented science at planetary scale. By prioritizing open access and real-world applications, Google.org aims not just to speed up research—but to ensure its benefits ripple outward, empowering scientists everywhere to tackle challenges once thought unsolvable.

Material by Irina Kalaydjieva

Source: Google