The Center for Brains, Minds & Machines

Applications are now open for Brains, Minds + Machines Summer Course 2018; Deadline: April 9, 2018

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.
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.
Congratulations to Prof. Nancy Kanwisher for receiving that 2018 Davida Teller Award.

The VSS Davida Teller Award was established in 2013 and is given to "an outstanding woman vision scientist with a strong history of mentoring."
Congratulations to Prof. Ed Boyden, the inaugural Y. Eva Tan Professor in Neurotechnology!

“Ed’s body of work has already transformed neuroscience and biomedicine, and this chair will help his team to further develop revolutionary tools that will have a profound impact on research worldwide.” - Robert Desimone, Director McGovern Institute
Plumbing the Depths of Neural Nets [MIT Spectrum]

On a quest to demystify deep learning, Tomaso Poggio glimpses tantalizing implications for human intelligence.
MIT Intelligence Quest (MIT IQ) - New Institute-wide initiative will advance human and machine intelligence research

At a time of rapid advances in intelligence research across many disciplines, this initiative will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known.

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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

Photo of Prof. Ed Boyden

Ed Boyden receives 2018 Canada Gairdner International Award

March 27, 2018

"MIT scientist among three recognized for the discovery of optogenetics by Julie Pryor Ed Boyden, the Y. Eva Tan Professor in Neurotechnology at MIT, has been named a recipient of the 2018 Canada...

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Seminars + events

Brains, Minds + Machines Seminar Series: Accelerating Bio Discovery with Machine...

April 20, 2018 - 4:00 pm

Singleton Auditorium (46-3002)

Phil Nelson, Google Research | Google Accelerated Science team

Abstract: Google Accelerated Sciences is a translational research team that brings Google's...

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CBMM spotlight

Gabriel Kreiman: Neural Circuits for Intelligence

Gabriel Kreiman: Neural Circuits for Intelligence

Associated Research Thrust(s):

Neural Circuits for Intelligence

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Highlighted publications

D. Harari, Tenenabum, J. B., and Ullman, S., “Discovery and usage of joint attention in images”, arXiv.org, 2018.

CBMM Memo No:

077

A. Adler and Wax, M., “Constant Modulus Algorithms via Low-Rank Approximation”. 2018.

CBMM Memo No:

076

H. Mhaskar and Poggio, T., “An analysis of training and generalization errors in shallow and deep networks”. 2018.

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Featured video

Embedded thumbnail for Fit Without Fear: An Over-Fitting Perspective on Modern Deep and Shallow Learning

Fit Without Fear: An Over-Fitting Perspective on Modern Deep and Shallow Learning

Abstract:
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by...

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