Science drives human progress, yet finding is slowing despite increasingly complex global challenges. Google.org launched a $20 million AI for Science fund to address this, supporting organizations using AI to solve critical scientific problems. We aim to accelerate research, enabling breakthroughs in years that previously took decades.
Today, we announce the twelve recipients of the AI for Science fund. These teams utilize AI not only for data analysis but to overcome major obstacles in health, agriculture, and biodiversity, translating discoveries into practical solutions. All recipients share a commitment to open science, promising open-source datasets and solutions to foster wider innovation.
Decoding the science of life and health
The complexity of biological data hinders medical advancements. five funded teams are applying AI to transform this complexity into predictive and precise science, shifting focus from disease treatment to prevention.
- UW Medicine employs Fiber-seq technology to map the unmapped 99% of the human genome, seeking genetic origins of rare diseases.
- Cedars-Sinai Medical Center develops BAN-map, an AI tool that analyzes neural data and optimizes experiments to decode the neural basis of thought and memory.
- Technical University of Munich constructs a multiscale foundation model linking cells to organs, enabling digital disease simulation and treatment testing.
- The Infectious Disease Institute at Makerere university uses AI tools like “EVE” and AlphaFold to predict how malaria parasites evolve.
- Broad institute of MIT and Harvard is developing an AI-powered platform to predict the effects of genetic mutations on protein function, accelerating drug discovery.
