Recorded:
Aug 10, 2020
Uploaded:
August 11, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Gabriel Kreiman, Tomaso Poggio
Speaker(s):
Stefanie Tellex
Recorded:
Aug 10, 2020
Uploaded:
August 11, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Ethan Meyers
Recorded:
Aug 10, 2020
Uploaded:
August 11, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
James DiCarlo
Recorded:
Aug 10, 2020
Uploaded:
August 11, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Gabriel Kreiman, Tomaso Poggio, Lizanne DeStefano, Boris Katz
Gabriel Kreiman, Tomaso Poggio, Lizanne DeStefano, Boris Katz and more welcome the students to the BMM Virtual Summer Course 2020. Prof. Poggio goes over the history of CBMM and the BMM Summer Course, how it was conceived and the questions that...
![Embedded thumbnail for The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/95lpVPMzPJk.jpg?itok=7qltXxnS)
Recorded:
Aug 6, 2020
Uploaded:
August 6, 2020
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
James DiCarlo, Kohitij Kar
Speaker(s):
Rishi Rajalingham, Stan Dehaene
Rishi Rajalingham, the primary author, and others from the team that published the paper in Nature Communications describe their findings and the impact of their research.
Recorded:
Jun 17, 2020
Uploaded:
July 27, 2020
Part of
All Captioned Videos, CBMM Summer Lecture Series
CBMM Speaker(s):
Nancy Kanwisher
[The video is missing the first few minutes of the talk due to technical difficulties.]
Nancy Kanwisher, MIT
Recorded:
Jul 23, 2020
Uploaded:
July 24, 2020
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Shibani Santurkar, MIT
Machine learning models today achieve impressive performance on challenging benchmark tasks. Yet, these models remain remarkably brittle---small perturbations of natural inputs, known as adversarial examples, can severely degrade their behavior.
Why...
Recorded:
Jul 11, 2020
Uploaded:
July 21, 2020
Part of
CBMM Research
CBMM Speaker(s):
Joshua Tenenbaum
Link to workshop page - https://robohub.org/rss-2020-all-the-papers-and-videos/
Speaker: Josh Tenenbaum
Moderator: Marc Toussaint **Title:** It's all in your head: Intuitive physics, planning, and problem-solving in brains, minds and machines...
Moderator: Marc Toussaint **Title:** It's all in your head: Intuitive physics, planning, and problem-solving in brains, minds and machines...
![Embedded thumbnail for Theoretical issues in deep networks [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/IIjI87Z9C7Y.jpg?itok=VlPhrDae)
Recorded:
Jul 21, 2020
Uploaded:
July 21, 2020
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Andrzej Banburski
Publication Theoretical issues in deep networks
Abstract:
While deep learning is successful in a number of applications, it is not yet well understood theoretically. A theoretical characterization of deep learning should answer questions about...
While deep learning is successful in a number of applications, it is not yet well understood theoretically. A theoretical characterization of deep learning should answer questions about...
Recorded:
Jun 6, 2020
Uploaded:
July 14, 2020
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Katharina Dobs
Katharina Dobs, MIT
Many regions of the human brain conduct highly specific functions, such as recognizing faces, understanding language, and thinking about other people’s thoughts. Why might this domain specific organization be a good design...