Here’s a look at the hard problems these five universities are tackling: @Caltech: Expanding our partnership with Caltech to test whether large language models can accelerate innovative research in mathematics and physical sciences – pushing the boundaries of what AI can do in rigorous scientific domains @OhioStateMed: Developing AI workflows to assist radiologists screening X-rays, building AI tools for earlier heart failure detection, and building clinician-guided AI tools for Alzheimer’s diagnosis. @LSU: Implementing AI to improve non-contact infant tracheostomy monitoring, neurosurgical outcomes, VR training for medical professionals, and more. @IndianaUniv: Applying open-weight models to improve maternal-newborn care and learning, with a focus on tools that work with limited connectivity and accommodate diverse cognitive needs. @UTHealthHouston: Using Muse Glimmer, one of our smallest open-weight models, to support projects that improve treatment for brain cancer and agentic benchmarking in healthcare settings.

Today we're announcing support for university research at @Caltech, @OhioStateMed, @LSU, @IndianaUniv, and @UTHealthHouston to help advance breakthroughs across science and medicine. As part of the support for university researchers, we’ll provide access to our latest Muse models, including Muse Wonder and Muse Spark; open weight models like Muse Glimmer and Muse Spark Open; computer vision models such as SAM, V-JEPA, and DINO; as well as SeamlessM4T, our multilingual communication model. We’re excited to support these five universities as they use our models to accelerate the important work they’re doing. Read more on our research blog: go.meta.me/47G6wV3