The Center for Brains, Minds & Machines

Deepmind founder Demis Hassabis: "My research soul was disappointed by how inelegant the solution of speech AI was" [NZZ.com]

With Alphafold, Deepmind revolutionized chemistry. The company is now working on competing with Chat-GPT, says the founder in an interview.
CBMM publications that are worth revisiting:

Faces are an important and unique class of visual stimuli, and have been of interest to neuroscientists for many years. Faces are known to elicit certain characteristic behavioral markers, collectively labeled “holistic processing”, while non-face obj...
Ila Fiete wins Swartz Prize for Theoretical and Computational Neuroscience

SfN has awarded the Swartz Prize for Theoretical and Computational Neuroscience to Prof. Ila Fiete. Fiete received the prize for her breakthrough research modeling hippocampal grid cells, a component of the navigational system of the mammalian brain.
Welcome to the new Hyundai AI Institute and to its Director Marc Raibert!

Hyundai Motor Group and Boston Dynamics announced the launch of the Boston Dynamics AI Institute, to “spearhead advancements in artificial intelligence and robotics.”
Understanding reality through algorithms [MIT News]

Neuroscience PhD student Fernanda De La Torre uses complex algorithms to investigate philosophical questions about perception and reality.
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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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

Whispers of A.I.’s Modular Future [The New Yorker]

February 1, 2023

ChatGPT is in the spotlight, but it’s Whisper—OpenAI’s open-source speech-transcription program—that shows us where machine learning is going. By James Somers One day in late December, I downloaded a...

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Seminars + events

Quest | CBMM Seminar Series: The neural computations underlying real-world socia...

February 7, 2023 - 4:00 pm

Singleton Auditorium (46-3002)

Leyla Isik, Johns Hopkins University

Leyla Isik is the Clare Boothe Luce Assistant Professor in the Department of Cognitive Science at...

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CBMM spotlight

Georgios Evangelopoulos: Speech Recognition

Georgios Evangelopoulos: Speech Recognition

Associated Research Thrust(s):

Theoretical Frameworks for Intelligence

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Highlighted publications

M. Xu, Rangamani, A., Liao, Q., Galanti, T., and Poggio, T., “Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neu...

Y. Zhang, Aghajan, Z. M., Ison, M., Lu, Q., Tang, H., Kalender, G., Monsoor, T., Zheng, J., Kreiman, G., Roychowdhury, V., and Fried, I., “Decoding o...

CBMM Memo No:

138

T. A. Poggio, “Foundations of Deep Learning: Compositional Sparsity of Computable Functions”. 2022.

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Featured video

Embedded thumbnail for Electrophysiological and optogenetic characterization of feature attention and working memory across the primate cortex

Electrophysiological and optogenetic characterization of feature attention and working memory across the primate cortex

Visual attention and working memory are two different cognitive functions. However, because of their close relationship and interactions, it is often claimed that they share the same underlying...

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