The Center for Brains, Minds & Machines

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!
Tomaso Poggio: Brains, Minds, and Machines (video/podcast) [Lex Fridman]

He is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of intelligence, in both biological neural networks and artificial ones...
CBMM Welcomes Prof. Antonio Torralba!

The Center is excited to announce another distinguished colleague as a research collaborator. Prof. Torralba is also the Director of the MIT Quest for Intelligence and Director of the MIT-IBM Watson AI Lab.
Brains, Minds + Machines Summer Course 2019 | 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. 8, 2019 through Aug. 29, 2019, at MBL, Woods Hole, MA, Application Deadline: April 8, 2019
Lorenzo Rosasco ERC consolidator recipient [Univerista Degli Studi Di Genova]

Prof. Lorenzo Rosasco of the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) has won a European Research Council (ERC consolidator) grant with the project "Efficient algorithms for sustainable machine learning".
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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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 »

Featured news

Boris Katz

The man who helped invent virtual assistants thinks they’re doomed without a new AI...

March 13, 2019

Boris Katz has spent his career trying to help machines master language. He believes that current AI techniques aren’t enough to make Siri or Alexa truly smart. by Will Knight iri, Alexa, Google Home...

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Seminars + events

Photo of Prof. Amnon Shashua

CBMM Special Seminar: The State of Autonomous Driving

March 19, 2019 - 4:30 pm

MIT 10-250, Huntington Hall

Dr. Amnon Shashua, President and CEO Mobileye, an Intel comp...

Please note change of location - this talk will be held in MIT 10-250. This talk is co-hosted by...

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CBMM spotlight

Bill Lotter: Unsupervised Learning

Bill Lotter: Unsupervised Learning

Associated Research Thrust(s):

Neural Circuits for Intelligence

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Highlighted publications

A. Tacchetti, Voinea, S., and Evangelopoulos, G., “Trading robust representations for sample complexity through self-supervised visual experience”, i...

S. Hu, Ciliberti, D., Grosmark, A. D., Michon, édéric, Ji, D., Penagos, H., áki, örgy, Wilson, M. A., Kloosterman, F., and Chen, Z., “Real-Time Reado...

CBMM Memo No:

097

B. Myanganbayar, Mata, C., Dekel, G., Katz, B., Ben-Yosef, G., and Barbu, A., “Partially Occluded Hands: A challenging new dataset for single-image h...

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Featured video

Embedded thumbnail for Detecting Fake News

Detecting Fake News

New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual...

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