The Center for Brains, Minds & Machines

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!
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...
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
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 »

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

Toward artificial intelligence that learns to write code [Tech Xplore]

June 17, 2019

Learning to code involves recognizing how to structure a program, and how to fill in every last detail correctly. No wonder it can be so frustrating. A new program-writing AI, SketchAdapt, offers a...

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Seminars + events

Research Meeting: Gemma Roig

July 18, 2019 - 4:00 pm

MIT 46-5165

Gemma Roig

Title: Task-specific Vision DNN Models and Their Relation for Explaining Different Areas of...

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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:

098

H. N. Mhaskar and Poggio, T., “Function approximation by deep networks”. 2019.

C. R. Ponce, Xiao, W., Schade, P. F., Hartmann, T. S., Kreiman, G., and Livingstone, M. S., “Evolving Images for Visual Neurons Using a Deep Generati...

P. Bashivan, Kar, K., and DiCarlo, J. J., “Neural Population Control via Deep Image Synthesis”, Science, vol. 364, no. 6439, 2019.

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Featured video

Embedded thumbnail for A Conversation with Dr. Boris Katz

A Conversation with Dr. Boris Katz

Boris Katz of MIT discusses how he got into his field of research, and shows some projects that he has and is working on, with visiting summer students.

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