Monday, April 29, 2019
Lecture: Dissertation Talk: CS | April 29 | 1-2 p.m. | 405 Soda Hall
Modern deep learning techniques are data-hungry, which presents a problem in robotics because real-world robotic data is difficult and expensive to collect. In contrast, simulated data is cheap and scalable, but jumping the "reality gap" to use simulated data for real-world tasks is challenging. In this talk, we discuss applications of Domain Randomization: a technique for bridging the reality... More >
Dissertation Talk: Optoelectronics for refrigeration and analog circuits for combinatorial optimization
Presentation: Dissertation Talk: EE | April 29 | 1-2 p.m. | 540AB Cory Hall
Tianyao Xiao, PhD candidate, Department of EECS, UC Berkeley
In this dissertation talk, I will cover two topics. First, I will discuss the prospects of using light-emitting diodes as solid-state refrigerators. Second, I will present a non-von Neumann computer, built from coupled analog electrical oscillators, that can rapidly search for solutions to difficult combinatorial optimization problems.