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Past Events from March 6, 2020 - March 30, 2020 | Penn Engineering Events Page 184 Warning: session_start(): Session cannot be started after headers have already been sent in /home/seasevents/public_html/wp-content/themes/mast/functions/enqueue.php on line 27
Berger Auditorium (Room 13), Skirkanich Hall
210 South 33rd Street, Philadelphia, PA, United States
Abstract By enabling optical microsystems with new functionalities, improved system performance, and reduced size, weight, and power, integrated photonics is positioned to enable next-generation optical technologies that facilitate revolutionary advances for numerous fields spanning science and engineering, including computing, sensing, communications, displays, quantum, and biology. An emerging class of integrated photonic systems is integrated optical […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
The computational modeling of complex multi-physics problems often requires specialized approaches in the formulation, implementation, and deployment of algorithms that lie outside the scope of conventional practice in physics-based modeling and simulation. In this talk I will present three examples of problems in which the synergistic combination of advanced algorithms, and state-of-the-art software implementations on […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
The study of wind farms within realistic atmospheric boundary layer conditions is critical to understand the governing physics of the system and to design optimal operational protocols. Historically, control protocols have optimized performance of individual wind turbines resulting in aerodynamic wakes which typically reduce total wind farm power production 10-20% and increase the cost of […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
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 behavior (or predictor) that optimally achieves this goal. This has been true since the early days of AI (e.g., search algorithms such as A* that […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
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) provides a framework for formulating an interpretable generative process of data and a way to express uncertainty about what we do not know. How can […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
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 directly implement computation. Under this paradigm, voltages and currents within the device implement continuously evolving variables in the computation. In this talk, I discuss compilation […]
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 questions.
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
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 technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]
Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
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 technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]