Machine Learning and How Physicists Can Think About It

Note: *Coffee will be reserved in the lounge at 3:00PM.
Speaker: Jared Kaplan, Johns Hopkins University

When: December 4, 2018 (Tue), 03:30PM to 04:30PM (add to my calendar)
Location: SCI 109
Hosted by: Liam Fitzpatrick
View the poster for this event.

This event is part of the Physics Department Colloquia Series.

In the last six years there has been an explosion of progress in Machine Learning. In this colloquium I'll explain the (very simple) ideas underlying Neural Networks, and give a few examples of their structure and current capabilities. Then I'll survey the increasing scales of data and computation in this field, and make some comparisons and projections to see where it could be headed.