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Panel Discussion on the relationship between engineering and science in CBMM and the field

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...

Nonlinear Dimensionality Reduction

Recorded:

Sep 22, 2020

Uploaded:

September 23, 2020

Part of

All Captioned Videos, Computational Tutorials

Speaker(s):

Christian Bueno, University of California, Santa Barbara

Christian Bueno, University of California, Santa Barbara Working with lower dimensional representations of data can be valuable for simplifying models, removing noise, and visualization. When data is distributed in geometrically complicated ways,...

DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.

Recorded:

Sep 15, 2020

Uploaded:

September 16, 2020

Part of

All Captioned Videos, Brains, Minds and Machines Seminar Series

Speaker(s):

George Karniadakis, Brown University

It is widely known that neural networks (NNs) are universal approximators of continuous functions, however, a less known but powerful result is that a NN with a single hidden layer can approximate accurately any nonlinear continuous operator. This...

Using Lookit to run developmental studies online

Recorded:

Sep 3, 2020

Uploaded:

September 4, 2020

Part of

All Captioned Videos, Computational Tutorials

CBMM Speaker(s):

Maddie Pelz

Lookit is an online platform for designing and running asynchronous developmental studies. This technology allows for more diverse and representative populations to participate in developmental studies than would typically be able to engage in the...