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
From the Lab to the Airwaves: Dr. Nina Miolane on the Mind Over Matter Podcast
Dr. Nina Miolane recently appeared on Mind Over Matter for a deep and wide-ranging conversation with host Anita Okorie. The episode delves into geometric artificial intelligence, natural intelligence, and how cutting-edge neuroimaging techniques are being used to study neurodegenerative diseases.
Read MoreFrom the Lab to the Airwaves: Dr. Nina Miolane on the Mind Over Matter Podcast
Nina Miolane Gives Public Lecture at the Center for Aging and Longevity Studies
Dr. Nina Miolane, Assistant Professor of Electrical & Computer Engineering at UC Santa Barbara, hosted an enlightening lecture on how artifical intelligence can improve our understanding of healthy and pathological aging. Dr. Miolane’s research combines geometric and topological methods with cutting-edge AI techniques like machine learning and deep learning to address key challenges in neuroscience, including Alzheimer's and other neurodegenerative diseases!
Read MoreNina Miolane Gives Public Lecture at the Center for Aging and Longevity Studies
Our Project "An AI Model of the Maternal Brain" is Awarded $1M Funding by the Chan Zuckerberg Initiative
We have been awarded $1M funding from the Chan Zuckerberg Initiative (CZI) to develop an AI model of the maternal brain, offering unprecedented insights into how the brain changes during pregnancy and motherhood.
Read MoreOur Project "An AI Model of the Maternal Brain" is Awarded $1M Funding by the Chan Zuckerberg Initiative