We use advanced mathematics to unify the study of intelligence in brains and machines.
We build efficient AI models that succeed where others fail. We deliver up to +66% higher accuracy or the same accuracy with 10× faster models, even when datasets are small, noisy, and complex —such as networks and 3D shapes.
We provide new perspectives in neuroscience, revealing the mathematics that let our brains explore the world, store memories, and master new skills.
Geometric Intelligence Research
Just as physicists uses geometry to build unification theories, we show that brain and machine intelligences can be studied under a common framework: geometric intelligence.
The idea is that data has structure and this structure has power. It helps us redesign the building blocks of AI models to improve their efficiency. It helps us understand how brains compute so effectively.
Geometric Intelligence in Machines
We study the properties of top-performing AI models and design mathematical approaches to improve them. Learn more.
Geometric Intelligence in Brains
We study patterns of neural activity across diverse cognitive functions—from navigation and memory to vision. Learn more.
Building Brain Digital Twins
We use AI models to build digital twins of the brain, simulating its function in both health and disease. Learn more.
Latest News
Dr. Nina Miolane Hosts with the Ann S. Bowers Women's Brain Health Initiative in New York
Geometric Intelligence Principal Investigator, Dr. Nina Miolane, recently gave an engaging talk in New York City, hosted by the Ann S. Bowers Women's Brain Health Initiative and The Lower Eastside Girls Club. As a Co-Director of the WBHI AI Core, Dr. Miolane shared her insights on the AI digital twin of the maternal brain, contributing to the event's mission of advancing the study of women's brain health through deeply collaborative science.
Read MoreDr. Nina Miolane Hosts with the Ann S. Bowers Women's Brain Health Initiative in New York
Dr. Nina Miolane Delivers Keynote Speech at CZI Imaging the Future
We are proud to share that Dr. Nina Miolane, PI of the Geometric Intelligence Lab, delivered a keynote speech at this year's CZI Imagine the Future event. Her presentation focused on critical issues of data disparity and the underrepresentation of women-specific health factors in published imaging research.
"Less than 0.5% percent of brain imaging articles published over the last 25 years consider health factors specific to women."
Read MoreDr. Nina Miolane Delivers Keynote Speech at CZI Imaging the Future
Mathilde Papillon Receives the Prestigious Postgraduate Doctoral Scholarship
Mathilde Papillon, Ph.D. in the Geometric Intelligence Lab, has been awarded Canada's prestigious Postgraduate Doctoral Scholarship. She will receive 3 years of funding to develop imaginative and useful Topological Deep Learning tools for human movement.
This award recognizes her as a phenomenal graduate student and exceptional early career scientist!