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

CBMM's Kanwisher and Freiwald named Kavli Prize Laureates in Neuroscience

"for the discovery of a highly localized and specialized system for representation of faces in human and non-human primate neocortex."
Natural language boosts LLM performance in coding, planning, and robotics [MIT News]

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
Artificial intelligence. Thus speaks (and spoke) the pioneer Tomaso Poggio [La Stampa]

History and future of ChatGPT and its sisters in the book just published by the Italian scientist who became famous at the Massachusetts Institute of Technology in Boston. «The genie is out of the bottle, but humans are more dangerous than robots»
Building Intelligent Machines Helps Us Learn How Our Brain Works [Scientific American]

Designing machines to think like humans provides insight into intelligence itself
Exposure to different kinds of music influences how the brain interprets rhythm [MIT News]

A study of people in 15 countries reveals that while everyone favors rhythms with simple integer ratios, biases can vary quite a bit across societies.
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.

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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

Research Scientist Andrei Barbu Gives Us Input On LLM Design

June 8, 2024

John Werner - Contributor I am an MIT Senior Fellow, 5x-founder & VC investing in AI Today I heard from MIT research scientist Andrei Barbu about working with LLMs, and how to prevent certain...

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Seminars + events

Please check back soon for upcoming CBMM Events.

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CBMM spotlight

Alan Yuille: The Visual System

Alan Yuille: The Visual System

Associated Research Thrust(s):

Vision and Language, Theoretical Frameworks for Intelligence, Exploring Future Directions

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Highlighted publications

T. Poggio and Fraser, M., “Compositional sparsity of learnable functions”, Bulletin of the American Mathematical Society, vol. 61, pp. 438-456, 2024.

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.

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Featured video

Embedded thumbnail for Global AI Leaders Series Part 1: From Research to Impact: Half a Century Shaping the AI Frontier

Global AI Leaders Series Part 1: From Research to Impact: Half a Century Shaping the AI Frontier

Watch the recording of our webinar as we delve into the history of AI, from its inception to today's breakthroughs and tomorrow's potential futures with: • Amnon Shashua, Sachs Professor of Computer...

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