Click here for more details. The workshop will explore the state of the art in sustainable computing and share recent research at the intersection of technology, economics, and policy. Through invited talks, […]
This will be an IN-PERSON event ONLY with in-person attendance in AGH 306. ABSTRACT Robots show great promise if they can get out of the lab into the field and […]
Critical to advancing immunotherapy and cell therapy in cancer is developing a deeper understanding pf the dynamics of immune cell-mediated cytotoxicity. The results from the multidisciplinary effort reported here include […]
Please RSVP here. We are living in an age where capabilities previously thought to be hallmarks of human intelligence are increasingly being replicated, or at least mimicked, in artificial systems. […]
Penn Engineering alumni working in AI will share industry insights in a panel discussion, followed by student networking sessions. Schedule: 2–3 p.m. Panel Discussion and Q&A 3:15–4 p.m. Breakout Networking Sessions […]
Graph Neural Networks (GNNs) are the tool of choice for scalable and stable learning in graph-structured data applications involving geometric information. My research addresses the fundamental questions of how GNNs […]
Abstract: Robust simulation and precise modeling of physical dynamics are essential for advancing perception, planning, and control in the development of generalist physical agents. In this talk, I will present […]
AI agents, both in the physical and digital worlds, should generalize from their training data to three increasingly difficult levels of deployment: training tasks and environments, training tasks and environments […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Motivated by the study of complex social behavior and by the bottom-up […]
Abstract: I will present the phase separation behavior of different sequences of a coarse-grained model for sequence defined macromolecules. They exhibit a surprisingly rich phase behavior, and not only conventional […]
Dense photonic integration requires miniaturization of materials, devices, circuits and systems, including passive components (e.g., engineered composite metamaterials, filters, etc.), active components (e.g., modulators and nonlinear wave mixers) and integrated […]
Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: This talk considers the problem of resilient distributed multi-agent optimization for cyberphysical systems in the presence of malicious or non-cooperative agents. It is assumed that […]