Embedded thumbnail for fMRI Scanning at MIT - For Kids
fMRI Scanning at MIT - For Kids
Recorded:
Apr 14, 2025
Uploaded:
April 14, 2025
Part of
All Captioned Videos, CBMM Research
Speaker(s):
Halie Olson
What to expect when your child is participating in an fMRI study at MIT.
Embedded thumbnail for A Theory of Appropriateness with Applications to Generative Artificial Intelligence
A Theory of Appropriateness with Applications to Generative Artificial Intelligence
Recorded:
Mar 4, 2025
Uploaded:
March 17, 2025
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Joel Leibo, senior staff research scientist at Google DeepMind and professor at King's College London
Abstract: What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of what is appropriate for different situations. We act one way with our friends, another with our family, and yet another in the office. Likewise for AI...
Aligning deep networks with human vision will require novel neural architectures, data diets and training algorithms
Recorded:
Feb 11, 2025
Uploaded:
February 24, 2025
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Thomas Serre, Brown University
Abstract: Recent advances in artificial intelligence have been mainly driven by the rapid scaling of deep neural networks (DNNs), which now contain unprecedented numbers of learnable parameters and are trained on massive datasets, covering large...
Embedded thumbnail for The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function [video]
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function [video]
Recorded:
Jan 29, 2025
Uploaded:
January 29, 2025
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Spandan Madan
Speaker(s):
Serena Bono
Authors Serena Bono (MIT Media Lab) and Spandan Madan (Harvard University) describe their latest paper and findings on training reinforcement learning models and their testing abilities.
Embedded thumbnail for The success of CBMM and the people who made it possible
The success of CBMM and the people who made it possible
Recorded:
Jan 10, 2025
Uploaded:
January 10, 2025
Part of
All Captioned Videos
CBMM Speaker(s):
Samuel Gershman, Josh McDermott, Carlos Ponce, Maria Fernanda De La Torre, Leyla Isik, Boris Katz, James DiCarlo, Kohitij Kar, Gabriel Kreiman, Winrich Freiwald, Mengmi Zhang, Will Xiao, Morgan Talbot, Ed Boyden, Akshay Rangamani
Over the last 11+ years, the Center for Brains, Minds, and Machines has become a place of gathering brilliant minds to discuss and solve the challenges and questions of intelligence, organic and artificial. Hear from a few of our members, and others...
Embedded thumbnail for Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex [video]
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex [video]
Recorded:
Dec 11, 2024
Uploaded:
December 11, 2024
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Spandan Madan
Authors: Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret Livingstone, Gabriel Kreiman Link to Paper: https://arxiv.org/abs/2406.16935 Abstract: We characterized the generalization capabilities of DNN-based encoding models when...
Embedded thumbnail for Panel Discussion: Open Questions in Theory of Learning
Panel Discussion: Open Questions in Theory of Learning
Recorded:
Nov 12, 2024
Uploaded:
November 19, 2024
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Tomaso Poggio, Ila Fiete, Haim Sompolinsky
Speaker(s):
Philip Isola, MIT, Eran Malach, Harvard
In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need. This panel will...
Embedded thumbnail for Normalization models of attention
Normalization models of attention
Recorded:
Nov 13, 2024
Uploaded:
November 19, 2024
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Rachel Denison, Boston University
Attention is a cognitive process that allows us to prioritize the sensory information that is most relevant for our behavioral goals. In a successful class of computational models of attention, attention biases neural responses through its...
Embedded thumbnail for Identifying Subgroups in Biomedical Datasets using Data Attribution
Identifying Subgroups in Biomedical Datasets using Data Attribution
Recorded:
Oct 9, 2024
Uploaded:
October 28, 2024
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Djuna von Maydell, MIT
Understanding how training data influences model predictions ("data attribution") is an active area of machine learning research. In this tutorial, we will introduce a data attribution method (datamodels: https://gradientscience.org/datamodels-1/)...
Embedded thumbnail for Learning to Reason, Insights from Language Modeling
Learning to Reason, Insights from Language Modeling
Recorded:
Oct 1, 2024
Uploaded:
October 21, 2024
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Noah Goodman
Noah Goodman, Stanford University

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