The Center for Brains, Minds & Machines

MIT announces leadership of its Quest for Intelligence. Faculty from across the Institute tapped to lead new initiative in human and machine intelligence. | MIT News

Prof. Antonio Torralba has been named the inaugural director of the MIT Quest for Intelligence, effective immediately. Additional Quest leadership members, of both The Core and The Bridge, were also announced.
Remembering Mrs. Margaret McDermott

On May 3, 2018, Mrs. Margaret McDermott passed away at the age of 106. There are very few who have contributed to MIT as much as Margaret and her family did...
Toil and trouble: How ‘Macbeth’ could teach computers to think [Boston Globe]

"Patrick Winston’s computer is learning about revenge, ambition, and murder. It knows that victory can make you happy. But it also knows you can’t be happy if you’re dead."
Gauging language proficiency through eye movement. | MIT News

Study tracks eye movement to determine how well people understand English as a foreign language. | MIT News Office
Brains, Minds + Machines Summer Course 2018 | 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. 9, 2018 through Aug. 30, 2018, at MBL, Woods Hole, MA.
Engineering Intelligence [McGovern Institute]

AI advances by industry giants like Google and Tesla, are based on engineering and computation, and little work in humans. Algorithms behind this tech come out of neuroscience research, so one of the next breakthroughs will likely come from here as well.

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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.

Featured news

Ombudsman Alert: Why A Pre-Verbal Child Can Be Smarter Than A Computer! [Rockland County...

July 13, 2018

BY DR. LOUIS ALPERT Ombudsman "…..BREAKING NEWS FROM MIT….. Your humble author of the Ombudsman Alert, who taught Mathematics at MIT during 1957-60, was honored to also be a junior member of a...

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Seminars + events

Photo of Dr. Joseph Lizier

CBMM Special Seminar: What information dynamics can tell us about ... brains

July 24, 2018 - 11:00 am

Singleton Auditorium (MIT 46-3002)

Dr. Joseph T. Lizier, The University of Sydney

Abstract: The space-time dynamics of interactions in neural systems are often...

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CBMM spotlight

Liz Spelke: Core Cognition

Liz Spelke: Core Cognition

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

CBMM Memo No:

091

Q. Liao, Miranda, B., Hidary, J., and Poggio, T., “Classical generalization bounds are surprisingly tight for Deep Networks”. 2018.

CBMM Memo No:

090

T. Poggio, Liao, Q., Miranda, B., Banburski, A., Boix, X., and Hidary, J., “Theory IIIb: Generalization in Deep Networks”. 2018.

CBMM Memo No:

089

G. Ben-Yosef and Ullman, S., “Image interpretation above and below the object level”. 2018.

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Featured video

Embedded thumbnail for Transformative Generative Models

Transformative Generative Models

Prof. Lior Wolf, Tel Aviv University and Facebook AI Research
Abstract: Generative models are constantly improving, thanks to recent contributions in adversarial training, unsupervised learning, and...

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