CBMM, NSF STC | The Center for Brains, Minds & Machines

2024 Nobel Prize Winner in Chemistry Has MIT Ties

Sir Demis Hassabis spent more than a year at The Center for Biological & Computational Learning (CBCL), a direct parent of the Center for Brains, Minds, and Machines, researching with CBMM's Director Tomaso Poggio and others.
2024 Nobel Prize Winner in Physics Has MIT Ties

Congratulations to John J. Hopfield who spent a year in the Center for Biological Information Processing (CBIP) a grandparent of CBMM.
CBMM's Sam Gershman recipient of Schmidt Sciences Polymath Program Awards Grant

The Schmidt Sciences Polymath Program funds high-risk, innovative projects by providing multi-year grants to top researchers in critical areas from AI to climate change.
King Harald showed off eight international award winners

Norway's King Harald showed off this yea'rs receipients of the Kavli prize including CBMM's Nancy Kanwisher (MIT) and Winrich Freiwald (The Rockefeller University) for their contributions to neuroscience.
NeurIPS: Concordia Contest 2024

In collaboration with colleagues from Google DeepMind, MIT, UC Berkeley, and UCL, the Cooperative AI Foundation is excited to present the Concordia Contest as part of NeurIPS 2024.
Brains, Minds + Machines Summer Course | MBL Woods Hole, MA

An intensive three-week course which gives a “deep end” introduction to the problem of intelligence.

past banners »

Videos | Support Us

The Center for Brains, Minds, and Machines (CBMM)
is a multi-institutional NSF Science and Technology Center
dedicated to the study of intelligence - how the brain produces intelligent
behavior and how we may be able to replicate intelligence in machines.

The Center for Brains, Minds and Machines (CBMM) is a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence - how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.

Summer course students working / Marine Biology Lab, Woodshole, MA

Brains, Minds, and Machines Summer Course

A CBMM flagship program, the Brains, Minds, and Machines Summer Course is an immersive 3-week course that provides a broad introduction to research on human & machine intelligence, combining three core disciplines — computation, neuroscience, and cognition — where students learn about common empirical & theoretical methods used in the field, and compelling results of this research, with an emphasis on the scientific mission of the Center.read more »

Prof. Nancy Kanwisher lecturing to a room full of students

The Science of Intelligence Learning Hub

Explore the science of intelligence through lectures, tutorials, and courses offered by the CBMM community, and experiment with modeling and data analysis tools used in neuroscience, cognitive science, and AI, to study intelligence in brains and machines!read more »

Featured news

Schmidt Sciences Polymath Program Awards $2.5M Grants to Six Pioneering Researchers [...

September 19, 2024

The Schmidt Sciences Polymath Program funds high-risk, innovative projects by providing multi-year grants to top researchers in critical areas from AI to climate change. NEW YORK—Six groundbreaking...

see more news »

Seminars + events

Quest | CBMM Seminar Series - Thomas Serre

February 11, 2025 - 4:00 pm

Singleton Auditorium (46-3002)

Thomas Serre, Brown University

see more events »

CBMM spotlight

Wiktor Młynarski: Statistics of Natural Sounds

Wiktor Młynarski: Statistics of Natural Sounds

Associated Research Thrust(s):

Theoretical Frameworks for Intelligence, Exploring Future Directions

see more spotlights »

Highlighted publications

CBMM Memo No:

151

A. Pinto, Rangamani, A., and Poggio, T., “On Generalization Bounds for Neural Networks with Low Rank Layers”. 2024.

CBMM Memo No:

150

L. Ziyin, Chuang, I., Galanti, T., and Poggio, T., “Formation of Representations in Neural Networks”. 2024.

CBMM Memo No:

149

Y. Gan, Galanti, T., Poggio, T., and Malach, E., “On the Power of Decision Trees in Auto-Regressive Language Modeling”. 2024.

see more Publications »

Featured video

Embedded thumbnail for Panel Discussion: Open Questions in Theory of Learning

Panel Discussion: Open Questions in Theory of Learning

In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems...

see more videos »

Facebook Feed