The Center for Brains, Minds & Machines

AI Week TLV announces speakers

AI Week TLV, a five-day international event this February with the experts who are reshaping AI innovation, announced their speaker list including CBMM's Tomaso Poggio and Shimon Ullman.
IBM-MIT launch new AI challenge to push the limits of object recognition models

IBM-MIT collaboration announces a challenge for the computer vision community to develop robust models for object recognition, demonstrating accurate predictions on ObjectNet images.
CBMM presenting at NeurIPS 2020

The Center for Brains, Minds and Machines is well-represented at the thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020).
‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

An artificial intelligence (AI) network developed by Google AI offshoot DeepMind has made a gargantuan leap in solving one of biology’s grandest challenges — determining a protein’s 3D shape from its amino-acid sequence.
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.
CBMM Memo 102: Double descent in the condition number

Figure 1: Typical double descent of the condition number (y axis) of a random data matrixdistributed asN(0,1): the condition number is worse whenn=d, better ifn > d(on the rightofn=d) and also better ifn < d(on the left ofn=d).

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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

Prof. Amnon Shashua to talk via MIT Webinar

February 2, 2021

Prof. Amnon Shashua, CEO of Intel Mobileye and CBMM External Advisory Committee member, will speak as part of the MISTI MIT-Israel's Breaking Boundaries: Israelis in Science, Technology and the...

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Seminars + events

Portrait of Prof. Murray Shanahan

CBMM Brains, Minds, and Machines Seminar Series: Common Sense Physics and Struct...

March 2, 2021 - 2:00 pm

Hosted via Zoom

Prof. Murray Shanahan, Imperial College London

Abstract: The challenge of endowing computers with common sense remains one of the major...

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CBMM spotlight

Kim Scott: Online Infant Preferential Looking

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

CBMM Memo No:

116

O. Kunhardt, Deza, A., and Poggio, T. A., “The Effects of Image Distribution and Task on Adversarial Robustness”. 2021.

CBMM Memo No:

115

A. Banburski, De La Torre, F., Pant, N., Shastri, I., and Poggio, T., “Distribution of Classification Margins: Are All Data Equal?”. 2021.

CBMM Memo No:

114

T. Poggio, “From Associative Memories to Deep Networks”. 2021.

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Featured video

Embedded thumbnail for Computation and Learning with Assemblies of Neurons

Computation and Learning with Assemblies of Neurons

Prof. Santosh Vempala, Georgia Tech
Abstract: Despite great advances in ML, and in our understanding of the brain at the level of neurons, synapses, and neural circuits, we still have no satisfactory...

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