CBMM, NSF STC | The Center for Brains, Minds & Machines

From Research to Impact: Half a Century Shaping the AI Frontier [Webinar]

Join us on a journey through the history of artificial intelligence (AI) from its early conceptual foundations to today’s Gen AI breakthroughs and tomorrow’s potential futures with Amnon Shashua and Tomaso Poggio on April 18th.
Brains, Minds + Machines Summer Course | MBL Woods Hole, MA

An intensive three-week course which gives a “deep end” introduction to the problem of intelligence.
The Passing of Dr. Joel D. Oppenheim

Joel Oppenheim was a wise and generous man. We were fortunate to work with him when he joined the CBMM External Advisory Committee (EAC) at its inception in 2014, and got to know him well...
Creating new skills and new connections with MIT’s Quantitative Methods Workshop [MIT News]

More than 80 students and faculty from a dozen collaborating institutions became immersed at the intersection of computation and life sciences and forged new ties to MIT and each other.
What does the future hold for generative AI? [MIT News]

Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
Josh Tenenbaum is named AI2050 Senior Fellow [MIT News]

Tenenbaum is best known for theories of cognition as Bayesian inference, with a focus on explaining how humans can learn so much so quickly, from so little data.

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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

Mathematics of Intelligences program at the Institute for Pure & Applied Mathematics

April 2, 2024

September 9 - December 13, 2024 Scientific Overview The quest to understand intelligence is one of the great scientific endeavors—on par with quests to understand the origins of life or the...

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Seminars + events

From Research to Impact: Half a Century Shaping the AI Frontier

April 18, 2024 - 11:00 am

Online Webinar

Amnon Shashua, Sachs Professor of Computer Science at the He...

*Event time is 11:00pm EDT / 5:00pm CET - Registration required!* Register for the event here...

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CBMM spotlight

Moira Dillon: Behold!

Moira Dillon: Behold!

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

T. Galanti, Xu, M., Galanti, L., and Poggio, T., “Norm-based Generalization Bounds for Sparse Neural Networks”, in NeurIPS 2023, New Orleans, 2023.

CBMM Memo No:

145

T. Poggio and Fraser, M., “Compositional Sparsity of Learnable Functions”. 2024.

CBMM Memo No:

144

M. Xu, Galanti, T., Rangamani, A., Rosasco, L., Pinto, A., and Poggio, T., “The Janus effects of SGD vs GD: high noise and low rank”. 2023.

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Featured video

Embedded thumbnail for Bayes in the age of intelligent machines

Bayes in the age of intelligent machines

Abstract: Recent rapid progress in the creation of artificial intelligence (AI) systems has been driven in large part by innovations in architectures and algorithms for developing large scale...

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