The Center for Brains, Minds & Machines

CBMM presenting at NeurIPS 2019

The Center for Brains, Minds and Machines is well-represented at the thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019).
Congratulations to Prof. Josh Tenenbaum for receiving a 2019 MacArthur Fellowship!

Tenenbaum was recognized for his work "combining computational models with behavioral experiments to shed light on human learning, reasoning, and perception, and exploring how to bring artificial intelligence closer to the capabilities of human thining."
Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
The Science of Intelligence Learning Hub is now online!

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!
Brains, Minds + Machines Summer Course 2020 | MBL Woods Hole, MA

An intensive three-week course which will give a “deep end” introduction to the problem of intelligence. Course will be held from Aug. 6, 2020 through Aug. 27, 2020, at MBL, Woods Hole, MA, Application Deadline: April 6, 2020
The Brains, Minds and Machines Summer Course is now available on the MIT Open Course Ware website!

This course explores the problem of intelligence-its nature, how it is produced by the brain and how it could be replicated in machines—using an approach that integrates cognitive science, neuroscience, computer science, and artificial intelligence.

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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

Tidying up deep neural networks [McGovern Institute]

January 15, 2020

by Sabbi Lall Visual art has found many ways of representing objects, from the ornate Baroque period to modernist simplicity. Artificial visual systems are somewhat analogous: from relatively simple...

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Seminars + events

Brains, Minds + Machines Seminar Series: Doing for our robots what nature did fo...

February 4, 2020 - 4:00 pm

Singleton Auditorium

Leslie Pack Kaelbling

Abstract: We, as robot engineers, have to think hard about our role in the design of robots and how...

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CBMM spotlight

Shari Liu: Young Learners

Shari Liu: Young Learners

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

CBMM Memo No:

102

T. Poggio, Kur, G., and Banburski, A., “Double descent in the condition number”. 2019.

N. Jacoby, Undurraga, E. A., McPherson, M. J., Valdés, J., Ossandón, T., and McDermott, J. H., “Universal and Non-universal Features of Musical Pitch...

CBMM Memo No:

101

H. Sanders, Wilson, M. A., and Gershman, S. J., “Hippocampal Remapping as Hidden State Inference”. 2019.

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Featured video

Embedded thumbnail for Finding Friend and Foe in Multi-Agent Games [video]

Finding Friend and Foe in Multi-Agent Games [video]

Co-authors Max Kleiman-Weiner and Jack Serrino discuss their latest publication where they created a new algorithm. The algorithm that the team developed, dubbed DeepRole, has three components. First...

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