The Center for Brains, Minds & Machines

Seven from MIT elected to American Academy of Arts and Sciences for 2022

Prestigious honor society announces more than 250 new members including CBMM's Michale S. Fee and Rebecca Saxe.
CBMM Alum Kelsey Allen awarded prestigious 2022 Glushko Dissertation Prize

Dr. Kelsey Allen, MIT PhD '21 and CBMM Alumna, awarded the prestigious Glushko Dissertation Prize in cognitive sciences for her PhD thesis entitled “Learning to act with objects, relations and physics."
CBMM | Quest - Brains, Minds, and Machines Seminar Series: "Using AI to accelerate scientific discovery"

April 5, 2022 - 4:30 pm, MIT 26-100 and online - "[W]e are on the cusp of an exciting new era in science with AI poised to be a powerful tool for accelerating scientific discovery itself."
Boston Dynamics and Marc Raibert featured in Super Bowl Commercial

During Super Bowl LVI in 2022, Boston Dynamics robots and their founder and Chairman Marc Raibert are featured in a commercial.
CBMM's Nancy Kanwisher will receive the 2022 NAS Award in the Neurosciences [NAS]

The National Academy of Sciences (NAS) has announced today that Nancy Kanwisher, has received the 2022 NAS Award in the Neurosciences for her “pioneering research into the functional organization of the human brain.”
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.

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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

Three from MIT awarded 2022 Paul and Daisy Soros Fellowships for New Americans [MIT News]

April 14, 2022

Fellowship funds graduate studies for outstanding immigrants and children of immigrants. Julia Mongo | Office of Distinguished Fellowships MIT graduate student Fernanda De La Torre, alumna Trang Luu...

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Seminars + events

CBMM | Quest Research Meeting / Town Hall

June 15, 2022 - 4:00 pm

Singleton Auditorium (46-3002)

Profs. Jim DiCarlo (Director, MIT Quest) and Tomaso Poggio (...

*Postponed to June 15th* Topic: New Home: CBMM is now part of the MIT Quest for Intelligence...

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CBMM spotlight

Lorenzo Rosasco: Machine Learning

Lorenzo Rosasco: Machine Learning

Associated Research Thrust(s):

Theoretical Frameworks for Intelligence

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Highlighted publications

CBMM Memo No:

135

A. Gupte, Banburski, A., and Poggio, T., “PCA as a defense against some adversaries”. 2022.

CBMM Memo No:

134

T. Galanti and Poggio, T., “SGD Noise and Implicit Low-Rank Bias in Deep Neural Networks”. 2022.

CBMM Memo No:

133

R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenabum, J. B., Katz, B., and Barbu, A., “Incorporating Rich Social Interactions...

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Featured video

Embedded thumbnail for GLMsingle: a toolbox for improving single-trial fMRI response estimates

GLMsingle: a toolbox for improving single-trial fMRI response estimates

Advances in modern artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide high-...

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