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

Congratulations Kathleen!

Help us celebrate CBMM's Kathleen Sullivan on her successful completion of her Masters degree from Harvard!
How neural networks represent data

How do neural networks work? It’s a question that can confuse novices and experts alike. A team from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) says that understanding these representations, as well as how they inform the ways...
More Than 500 Researchers, Physicians Rally at Boston Common To Protest Trump’s Attacks on Research Funding [The Harvard Crimson]

More than 500 researchers, physicians, and students rallied at Boston Common on Friday to protest President Donald Trump’s efforts to cut federal funding for scientific research, lay off federal employees, and eliminate diversity, equity, and more.
Infant-like learning boosts AI efficiency and adaptability [Devdiscourse]

Infants naturally learn about the world through a process of incremental understanding, building foundational concepts before tackling more complex ones.
The LericiPea “Liguri nel Mondo” 2024 Award

Started in 1994 and always supported by the Liguria Region, is awarded to Tomaso Poggio, an internationally renowned scientist, born in Genoa, Ligurian pride in the world.
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

How the brain distinguishes between ambiguous hypotheses [MIT News]

June 6, 2025

Neural activity patterns can encode competing hypotheses about which landmark will lead to the correct destination. Anne Trafton | MIT News When navigating a place that we’re only somewhat familiar...

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Seminars + events

Please check back soon for upcoming CBMM Events.

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CBMM spotlight

Moira Dillon: Behold!

Moira Dillon: Behold!

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

CBMM Memo No:

158

R. Dubach, Abdallah, M. S., and Poggio, T., “Multiplicative Regularization Generalizes Better Than Additive Regularization”. 2025.

CBMM Memo No:

159

D. A. Danhofer, D’Ascenzo, D., Dubach, R., and Poggio, T., “Position: A Theory of Deep Learning Must Include Compositional Sparsity”. 2025.

R. T. Pramod, Mieczkowski, E., Fang, C. X., Tenenbaum, J. B., and Kanwisher, N., “Decoding predicted future states from the brain’s “physics engine””...

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Featured video

Embedded thumbnail for fMRI Scanning at MIT - For Kids

fMRI Scanning at MIT - For Kids

What to expect when your child is participating in an fMRI study at MIT.

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