Abstract: Abstract: Much of our success in artificial intelligence stems from the adoption of a simple paradigm: specify an objective or goal, and then use optimization algorithms to identify a […]
Abstract: Deep learning (DL) is a powerful approach to modeling complex and large scale data. However, DL models lack interpretable quantities and calibrated uncertainty. In contrast, probabilistic graphical modeling (PGM) […]
Abstract: Reconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to […]
Unfortunately, due to protocols surrounding the coronavirus (COVID-19), this event has been cancelled. We hope to see it rescheduled for the fall. Please contact Rashmi Kumar (rashmik@upenn.edu) with any […]
Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable […]
Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable […]
Tackling the energy sector’s pressing technological and workforce needs requires a multi-pronged approach. This talk will include a discussion of both technical research and educational approaches to address these needs. […]
