Recorded:
May 25, 2018
Uploaded:
June 1, 2018
Part of
CBMM Retreat Flash Talks
Speaker(s):
Eric Schulz
Eric Schulz, Harvard University
Recorded:
May 25, 2018
Uploaded:
June 1, 2018
Part of
CBMM Retreat Flash Talks
CBMM Speaker(s):
Kamila Jozwik
Kamila Jozwik, MIT
Recorded:
May 25, 2018
Uploaded:
June 1, 2018
Part of
CBMM Retreat Flash Talks
CBMM Speaker(s):
Andrei Barbu
Andrei Barbu, MIT
CBMM Retreat 2018 - Flash Talk
CBMM Retreat 2018 - Flash Talk
Recorded:
Feb 8, 2018
Uploaded:
May 16, 2018
CBMM Speaker(s):
Joshua Tenenbaum
This talk by Josh Tenenbaum was presented as part of the MIT course, 6.S099: Artificial General Intelligence, taught in January, 2018. This course takes an engineering approach to exploring possible research paths toward building human-level...
Recorded:
Apr 19, 2018
Uploaded:
May 9, 2018
Part of
Computational Tutorials
CBMM Speaker(s):
Emily Mackevicius
Speaker(s):
Andrew Bahle
The ability to identify interpretable, low-dimensional features that capture the dynamics of large-scale neural recordings is a major challenge in neuroscience. Dynamics that include repeated temporal patterns (which we call sequences), are not...
Recorded:
Mar 29, 2018
Uploaded:
April 24, 2018
Speaker(s):
Emma Kowal
Emma Kowal, MIT
One of the biggest surprises in molecular biology was that genes in eukaryotic genomes are organized in pieces, and that some pieces, called introns, need to be removed from the gene transcript before protein can be made. In this...
Recorded:
Apr 18, 2018
Uploaded:
April 24, 2018
Part of
Scientific Interviews
CBMM Speaker(s):
Tomaso Poggio
Speaker(s):
Mikhail Belkin
On April 18, 2018, CBMM Director Tomaso Poggio had the opportunity to sit down and chat briefly with Prof. Mikhail Belkin of Ohio State University.
Recorded:
Apr 18, 2018
Uploaded:
April 19, 2018
Part of
All Captioned Videos, CBMM Special Seminars
Speaker(s):
Mikhail Belkin, Ohio State University
Abstract:
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to...
Recorded:
Apr 13, 2018
Uploaded:
April 13, 2018
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Christof Koch
Abstract:
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have...
Recorded:
Feb 16, 2018
Uploaded:
February 22, 2018
Part of
Scientific Interviews
Speaker(s):
Dr. Ann Hermundstad
On February 16, 2018, CBMM Postdoc Wiktor Mlynarski took the opportunity to sit down and chat briefly with Dr. Ann Hermundstad of the Janelia Research Campus.