We reveal the geometric signatures of natural and artificial intelligence.
We are physicists, neuroscientists, statisticians, mathematicians and computer scientists who develop methods to understand intelligence in human and artificial neural networks.
We use tools from geometry, topology, computer vision, machine learning and deep learning to reveal the structures of intelligence. Our findings inspire us to build next–generation intelligent systems: Geometric AI.
By creating geometric computational representations of human and artificial brains at different scales, we aim to transform theoretical, computational and clinical brain sciences. For the latter, we work with clinicians to advance medical knowledge and AI-assisted medical practice for brain sciences.
Geometric Intelligence Research
Geometric Intelligence in Machines
We study the emerging mathematical properties of top-performing AI models, and build geometric, equivariant, and topological neural networks. Learn more.
Geometric Intelligence in Brains
We study how brain activity organizes into geometric, equivariant, and topological patterns to process sensory information coming from the world. Learn more.
Building Brain Digital Twins
We create digital twins of the brain, at multiple scales, to reveal how it functions 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