![Embedded thumbnail for Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/T0Ejs0dJFNc.jpg?itok=Fk7DDmNO)
Recorded:
Nov 23, 2020
Uploaded:
November 23, 2020
Part of
All Captioned Videos, Publication Releases, CBMM Research
CBMM Speaker(s):
Kevin Smith, Kelsey Allen, Joshua Tenenbaum
Authors Kelsey Allen, Kevin Smith, and Joshua Tenenbaum describe their newly published paper in PNAS about a new cognitive model that learns to use tools like humans do.
Recorded:
Nov 19, 2020
Uploaded:
November 23, 2020
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Eli Pollock
Recurrent neural networks (RNNs) are a powerful model for neural and cognitive phenomena. However, interpreting these models can be a challenge. In this tutorial, we will discuss how dynamical systems theory provides some tools for understanding...
Recorded:
Nov 6, 2020
Uploaded:
November 6, 2020
Part of
All Captioned Videos, CBMM Research
ChildrenHelpingScience.com is a website where you and your family can find and participate in online research studies from universities around the world! You can search for the perfect study for your family. We have studies for all ages, starting...
Recorded:
Nov 3, 2020
Uploaded:
November 4, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Nicholas Roy
In the last few years, the ability for robots to understand and operate in the world around them has advanced considerably. Examples include the growing number of self-driving car systems, the considerable work in robot mapping, and the growing...
Recorded:
Oct 27, 2020
Uploaded:
November 4, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Kenneth Blum, Tomaso Poggio, Max Tegmark, Lorenzo Rosasco, Andrea Tacchetti
Speaker(s):
Daniela L Rus
Deep Learning has enjoyed an impressive growth over the past few years in fields ranging from visual recognition to natural language processing. Improvements in these areas have been fundamental to the development of self-driving cars, machine...
Recorded:
Oct 20, 2020
Uploaded:
November 2, 2020
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Josh McDermott
Humans derive an enormous amount of information about the world from sound. This talk will describe our recent efforts to leverage contemporary neural networks to build models of these abilities and their instantiation in the brain. Such models have...
Recorded:
Oct 21, 2020
Uploaded:
October 21, 2020
Part of
Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Shimon Ullman
Recorded:
Aug 14, 2020
Uploaded:
October 21, 2020
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2020
CBMM Speaker(s):
Nancy Kanwisher
![Embedded thumbnail for Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/MWJUlXKDUmY.jpg?itok=g7ycl4mx)
Recorded:
Oct 19, 2020
Uploaded:
October 19, 2020
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Kohitij Kar, James DiCarlo
Speaker(s):
Arash Afraz, NIH
Authors Kohitij Kar and James DiCarlo discuss the research behind their newly published paper in the Neuron journal with a statement from Dr. Arash Afraz of the NIH on his outside perspective of the impacts of this study.
Recorded:
Sep 29, 2020
Uploaded:
September 30, 2020
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
James DiCarlo, Tomaso Poggio, Joshua Tenenbaum
CBMM hosted a panel discussion with Profs. Jim DiCarlo, Tomaso A Poggio, and Joshua Tenenbaum, who discussed and debate the relationship between engineering and science in CBMM and the field: We all believe that if we want to understand how our...