Events

Nov20

EECS Colloquium: Representation, Modeling, and Optimization in Reinforcement Learning

306 (HP Auditorium) Soda Hall
  • Sham Kakade, University of Washington
Reinforcement learning is now the dominant paradigm for how an agent learns to interact with the world. The approach has lead to successes ranging across numerous domains, including game playing and robotics, and it holds much promise in new domains, from self driving cars to interactive medical applications. Some of the central challenges are: - Representational learning: does having a good...
Nov22

Solid State Technology and Devices Seminar: Structured Light-Matter Interactions in Engineered Photonic Media

The Hogan Room, 521 Cory Hall
  • Natalia M. Litchinitser, Professor, Duke University
We will discuss fundamental optical phenomena at the interface of singular and nonlinear optics in engineered optical media and show that the unique optical properties of optical nanostructures open unlimited prospects to “engineer” light itself.
Nov22

Trustworthy Autonomy: Behavior Prediction and Validation

290 Hearst Memorial Mining Building
  • Katherine Driggs-Campbell, University of Illinois
University of Illinois' Katherine Driggs-Campbell will present Trustworthy Autonomy: Behavior Prediction and Validation at 4 p.m. Nov. 22 at the ITS Transportation Seminar in 290 Hearst Memorial Mining Building.
Dec04

EECS Colloquium: The Internet of Materials: The next logical step or a paradigm shift?

306 (HP Auditorium) Soda Hall
  • Gregory Abowd, Georgia Tech
Revisiting Weiser’s 30-year old inspirational vision on ubiquitous computing, we see that there are three factors that today limit the kind of ubiquity that Weiser described: power, cost, and form factor. Using these factors to drive our efforts, we have created examples of computational materials at Georgia Tech that demonstrate self-sustaining computational devices that are manufactured with...