Events

Apr26

IBM Call for Code Hackathon - April 26-27 – Cash Prizes!!

310 Banatao Auditorium Sutardja Dai Hall
IBM invites you to attend a special Call for Code Hackathon on Friday, April 26 – Saturday, April 27. IBM is challenging university students to develop solutions for disaster response and resilience in partnership with the Clinton Global Initiative University (CGIU). The timing could not be more critical. In 2018, natural disasters caused an estimated $155 billion in economic loss, impacting...
Apr27

IBM Call for Code Hackathon - April 26-27 – Cash Prizes!!

310 Banatao Auditorium Sutardja Dai Hall
IBM invites you to attend a special Call for Code Hackathon on Friday, April 26 – Saturday, April 27. IBM is challenging university students to develop solutions for disaster response and resilience in partnership with the Clinton Global Initiative University (CGIU). The timing could not be more critical. In 2018, natural disasters caused an estimated $155 billion in economic loss, impacting...
Apr29
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...
Apr29

Dissertation Talk: Optoelectronics for refrigeration and analog circuits for combinatorial optimization

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.
Apr30

BSAC Technology Seminar - Biosensor Strategies for Predicting Bladder Volume

521 Cory Hall
  • Eric A. Kurzrock, M.D., Director, Urologic Stem Cell Laboratory, UC Davis Institute for Regenerative Cures
Millions suffer from spinal cord problems and many have bladder dysfunction. We aim to build a non-invasive device utilizing LEDs to infer bladder expansion to minimize patient inconvenience. Clinical problems will be presented and potential solutions will be discussed.
Apr30

Dissertation talk: Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals

190 Doe Library
It is estimated that nearly one in five adults in the United States live with mental illness, and for individuals who struggle with mental health, the experience can be excruciating. The rise of mobile devices presents a unique opportunity to improve mental health outcomes, in part through empowering mental health professionals. Because many individuals always have their smartphones with them,...
May01

Dissertation Talk: Sample Complexity Bounds for the Linear Quadratic Regulator

380 Soda Hall
  • Stephen Tu, UC Berkeley
Reinforcement learning (RL) has demonstrated impressive performance in various domains such as video games, Go, robotic locomotion, and manipulation tasks. As we turn towards RL to power autonomous systems in the physical world, a natural question to ask is, how do we ensure that the behavior observed in the laboratory reflects the behavior that occurs when systems are deployed in the real world?...
May01

Center for Computational Biology Seminar: Sohini Ramachandran, Associate Professor, Brown University

125 Li Ka Shing Center
Leveraging linkage disequilibrium to identify adaptive and disease-causing mutations Abstract: Correlation among genotypes in human population-genetic datasets complicates the localization of both adaptive mutations and disease-causing mutations. I will describe our latest efforts to develop new methods for localizing adaptive and disease-causing mutations, motivated by (1) incorporating...