AI Infrastructure: Foundations for Energy Efficiency and Scalability

Jon M. Huntsman Hall 3730 Walnut Street, Philadelphia, PA, United States

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, panel discussions, and breakout sessions, participants will help shape a research agenda for the field. The workshop aims to produce a white paper and publish […]

Spring 2025 GRASP Seminar: Sebastian Scherer, Carnegie Mellon University, “Resilient Autonomy for Extreme and Uncertain Environments”

Amy Gutmann Hall, Room 306 3317 Chestnut Street, Philadelphia, PA, United States

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 go beyond a single-operator per robot paradigm. However, the unstructured nature of the real-world requires nuanced decision making of the robot. In this talk I […]

MEAM Seminar: “Microscopic Mayhem: Cancer in Three-Dimensions”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 numerous measurements and movies of immune cell-mediated cytotoxicity with striking examples of serial killing, foraging, path-tracking, cytokine gradients at tumor margins, and killing dynamics, in […]

What Does AI Tell Us About What It Means to Be Human

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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. Tasks involving language, reasoning, perception and even interaction with the real world have all been demonstrated in silico. What does this fact tell us about […]

AI Month Alumni Panel

Berger Auditorium (Room 13), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

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 Panelists include: Sara Dwyer (ENG’19) Founder & CEO at Parambil David Q. Sun (GEE’14, GR’20) Senior Engineering Manager, Siri & Information Intelligence, AIML at Apple […]

ESE Ph.D. Thesis Defense: ”Manifold Filters and Neural Networks: Geometric Graph Signal Processing in the Limit”

Amy Gutmann Hall, Room 515 3317 Chestnut Street, Philadelphia, United States

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 can generalize across different graph scales and how they can remain stable on large-scale graphs. I do so by considering manifolds as graph limit models. […]

ASSET Seminar: “Learning Reliable and Robust Generative Intelligence”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

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 my research on building generative models that combine physical realism with scalability in high-dimensional environments. The presentation delves into both the theoretical foundations and practical […]

ESE Ph.D. Thesis Defense: “Training Adaptive and Sample-Efficient Autonomous Agents”

Room 512, Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 with variations, and completely new tasks and environments. Moreover, like humans, they are expected to learn from as little training data as possible, especially in […]

Spring 2025 GRASP SFI: Anastasia Bizyaeva, Cornell University, “Nonlinear dynamics of social decision-making and belief formation”

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

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 design of collaborative autonomy, we present and analyze a nonlinear dynamic model of social belief formation. In our framework, belief updates of individuals are informed by the interplay […]

CBE Seminar: “Computational Design and Simulations of Soft Matter: From Molecular Insights to Functional Materials” (Antonia Statt, UIUC)

Wu & Chen Auditorium

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 liquid-liquid phase separation is observed, but also reentrant phase behavior. Most sequences form open phases consisting of large, interconnected aggregates (e.g. string-like or membrane-like clusters), […]