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ESE Seminar: “Demystifying (Deep) Reinforcement Learning: The Optimist, The Pessimist, and Their Provable Efficiency”
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Zoom - Email ESE for Link jbatter@seas.upenn.edu
Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical understandings lag behind. In particular, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk, we will present the two sides of the same coin, […]
PSOC Webinar: “T Cell Circuits That Can Sense Antigen Density with an Ultrasensitive Threshold” (Rogello Hernandez-Lopez)
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Physical Sciences in Oncology Center (PSOC@Penn) Spring 2021 Webinar Series. For webinar link, contact manu@seas.upenn.edu.
ODEI Spotlight: Inclusive Technology, Provocations for Research and Design
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Abstract: Perceptions of digital technology have grown increasingly cynical over the last decade, fueled by crises from the Snowden leaks to Cambridge Analytica to disinformation campaigns. Critical thinking about who is accommodated and who is excluded by mainstream technology is crucial for living up to promises of technology as empowering, but what do these reflections […]
MEAM Seminar: “Control of Turbulent Wall Shear Flows and the Potential for ‘Designer Turbulence'”
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Zoom - Email MEAM for Link
peterlit@seas.upenn.edu
The financial and environmental cost of turbulence is staggering: manage to quell turbulence in the thin boundary layers on the surface of a commercial airliner and you could almost halve the total aerodynamic drag, dramatically cutting fuel burn, emissions and cost of operation. Yet systems-level tools to model scale interactions or control turbulence remain relatively […]
ESE Seminar: “Surpassing Fundamental Limits through Time Varying Electromagnetics”
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Zoom - Email ESE for Link jbatter@seas.upenn.edu
Surpassing the fundamental limits that govern all electromagnetic structures, such as reciprocity and the delay-bandwidth-size limit, will have a transformative impact on all applications based on electromagnetic circuits and systems. For instance, violating principles of reciprocity enables non-reciprocal components such as isolators and circulators, which find application in full-duplex wireless radios, radar, bio-medical imaging, and […]
CIS Seminar: “Human-AI Systems for Making Video Useful”
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Zoom - Email CIS for link
cherylh@cis.upenn.edu
Video is becoming a core medium for communicating a wide range of content, including educational lectures, vlogs, and how-to tutorials. While videos are engaging and informative, they lack the familiar and useful affordances of text for browsing, skimming, and flexibly transforming information. This severely limits who can interact with video content and how they can […]
ODEI Spotlight: PAACH Restorative Practice Circle for Penn Post-Docs
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This event will be on Zoom. Please click the link below to join the meeting: https://upenn.zoom.us/j/93637094346
ODEI Spotlight: PAACH Restorative Practice Circle for Penn Alumni
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This event will be on Zoom. Please click the link below to join the meeting: https://upenn.zoom.us/j/98788759011
PICS Alumni Spotlight: “Xiaoguai Li, Quantitative Modeler/Data Scientist at JPMorgan Chase & Co.”
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Zoom - email kathom@seas.upenn.edu
On Wednesday, March 17 at 12:00 PICS will host an alumni spotlight featuring Xiaoguai Li, an alumni of Celia Reina’s group. Xiaoguai is currently employed as a Quantitative Modeler/Data Scientist at JPMorgan Chase & Co. Xiaoguai will share what she has learned since graduation and what advice she can offer to current students.
ODEI Spotlight: PAACH Restorative Practice Circle for Penn Faculty
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This event will be on Zoom. Please click the link below to join the meeting: https://upenn.zoom.us/j/95642827861
Spring 2021 GRASP SFI: “Considerations for Human-Robot Collaboration”
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Zoom
Abstract: The field of robotics has evolved over the past few decades. We’ve seen robots progress from the automation of repetitive tasks in manufacturing to the autonomy of mobilizing in unstructured environments to the cooperation of swarm robots that are centralized or decentralized. These abilities have required advances in robotic hardware, modeling, and artificial intelligence. […]