The Center for Brains, Minds & Machines

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 State of Autonomous Driving

On March 19, 2019, CBMM External Advisory Committee member and CBMM collaborator Dr. Amnon Shashua presented progress on autonomous driving and other AI based adaptive technologies.
The Power of Self-Learning Systems

On March 20, 2019, CBMM External Advisory Committee member and CBMM collaborator Dr. Demis Hassabis presented progress on self-learning systems work at Google DeepMind with examples from AlphaGo and AlphaStar.
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

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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

Photo of Prof. Josh Tenenbaum

Josh Tenenbaum receives 2019 MacArthur Fellowship [MIT News]

September 25, 2019

Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly. Anne Trafton | MIT News Office September 25, 2019 Excerpt: Josh Tenenbaum, a professor in MIT’s...

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Seminars + events

Photo of Mikhail Belkin

CBMM Special Seminar: Beyond Empirical Risk Minimization: the lessons of deep le...

October 28, 2019 - 4:00 pm

Singleton Auditorium

Mikhail Belkin, Professor, The Ohio State University - Depar...

Title: Beyond Empirical Risk Minimization: the lessons of deep learning Abstract: "A model with...

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CBMM spotlight

Candace Ross: Artificial Learning

Candace Ross: Artificial Learning

Associated Research Thrust(s):

Vision and Language

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Highlighted publications

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.

CBMM Memo No:

099

A. Adler, Wax, M., and Pantazis, D., “Brain Signals Localization by Alternating Projections”, arXiv. 2019.

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Featured video

Embedded thumbnail for Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing

Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing

Published in Current Biology (09/2019)
Lead author Nori Jacoby and PI Josh McDermott discuss their findings on pitch perception in western cultures as compared to an indigenous society in Bolivia...

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