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
We Participate in the MIT Summer Geometry Institute: "The Shape of Success"
The MIT Summer Geometry Institute (SGI) is a paid summer research program introducing undergraduate and graduate students to the field of geometry processing. Congrats to Geometric Intelligence Lab's interns Faria Huq, Sahra Yusuf and Berna Kabadayi, whose project made it to the first page of the MIT EECS webpage: "The Shape of Success"!
Read MoreWe Participate in the MIT Summer Geometry Institute: "The Shape of Success"