CBMM Panel Discussion: Is the theory of Deep Learning relevant to applications?

Tuesday, October 27, 2020 at 4:00pm

Virtual Event

Panelists: Tomaso A Poggio (CBMM), Daniela L Rus (CSAIL), Max Tegmark (Physics), Lorenzo Rosasco (IIT), and Andrea Tacchetti (DeepMind)

Abstract: 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 translation, and healthcare applications. This progress has arguably been made possible by a combination of increases in computing power and clever heuristics, raising puzzling questions that lack full theoretical understanding. Here, we will discuss the relationship between the theory behind deep learning and its application.

This panel discussion will be hosted remotely via Zoom.

Zoom Webinar link: https://mit.zoom.us/j/99126775953

Event Type

Conferences/Seminars/Lectures

Events By Interest

Academic

Events By Audience

Public, MIT Community

Events By School

School of Engineering (SoE), School of Science

Tags

McGovernMIT

Website

https://cbmm.mit.edu/news-events/even...

Department
Center for Brains, Minds and Machines (CBMM)
Hashtag

#@MIT_CBMM

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