Meta announced on October 28 that it is partnering with five US universities — the California Institute of Technology, The Ohio State University College of Medicine, Louisiana State University, Indiana University and UTHealth Houston — granting $2 million across the five schools, alongside access to its Superintelligence models and direct collaboration with Meta researchers. The work spans medicine, physics, chemistry, biology, computer science and mathematics.

At Caltech, five faculty members get access to frontier Muse models through Meta's API, with project grants lasting up to three years, including a project testing whether AI systems can generate machine-checkable mathematical proofs against a benchmark of more than 86,900 open research problems. Ohio State researchers are studying whether routine CT scans, medical records and ECG data can flag future heart-failure risk, alongside chest X-ray reporting and Alzheimer's diagnosis support. LSU is building a camera-based system, exploring Meta's open-weight SAM models, to watch infants with tracheostomies for tube displacement and distress; Indiana is studying conversational AI for people with dementia.

Support varies by institution and project, and Meta says patient data in the healthcare projects will remain within institutional environments, with university researchers controlling the research. The model list named across the projects includes Muse Spark Open, the Muse Wonder and Muse Spark series, the 30-billion-parameter open-weight Muse Glimmer, and the SAM, V-JEPA, DINO and SeamlessM4T models.