Recorded:
Jan 14, 2026
Uploaded:
January 26, 2026
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CBMM Speaker(s):
Tomaso Poggio
Tomaso Poggio on his eternal quest to discover the theoretical principles explaining intelligence and learning in brains, minds, and machines.
Tomaso Poggio is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an...
Recorded:
Jan 23, 2026
Uploaded:
January 26, 2026
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CBMM Speaker(s):
Tomaso Poggio
If robots experience real pain, are they conscious?
I spoke with Tomaso Poggio about future of AGI, AI's impact on human society, the signs of sentience in AI, and AI predictions. Tomaso Poggio is one of the founders of computational neuroscience...
Recorded:
Aug 15, 2025
Uploaded:
August 21, 2025
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Speaker(s):
Jascha Sohl-Dickstein, Anthropic
Recorded:
Aug 15, 2025
Uploaded:
August 19, 2025
Speaker(s):
Thomas Serre, Brown University
Recorded:
Aug 1, 2025
Uploaded:
August 1, 2025
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All Captioned Videos, Publication Releases
CBMM Speaker(s):
Vivian Paulun
In a new study, McGovern neuroscientists have identified parts of the brain’s visual cortex that respond preferentially when you look at “things” — that is, rigid or deformable objects like a bouncing ball -- and “stuff” — liquids or granular...
Recorded:
Apr 14, 2025
Uploaded:
April 14, 2025
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All Captioned Videos, CBMM Research
Speaker(s):
Halie Olson
What to expect when your child is participating in an fMRI study at MIT.
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...
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]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/JEyP1vLSmD8.jpg?itok=HQbzO4Sc)
Recorded:
Jan 29, 2025
Uploaded:
January 29, 2025
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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.
Recorded:
Jan 10, 2025
Uploaded:
January 10, 2025
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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...