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AI Infrastructure: Foundations for Energy Efficiency and Scalability
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 […]
Sunday, April 13, 2025
No events on this day.
Monday, April 14, 2025
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April 14, 2025 -Spring 2025 GRASP Seminar: Sebastian Scherer, Carnegie Mellon University, “Resilient Autonomy for Extreme and Uncertain Environments”
Spring 2025 GRASP Seminar: Sebastian Scherer, Carnegie Mellon University, “Resilient Autonomy for Extreme and Uncertain Environments”
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 […]
Tuesday, April 15, 2025
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April 15, 2025 -MEAM Seminar: “Microscopic Mayhem: Cancer in Three-Dimensions”
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April 15, 2025 -What Does AI Tell Us About What It Means to Be Human
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April 15, 2025 -AI Month Alumni Panel
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April 15, 2025 -ESE Ph.D. Thesis Defense: ”Manifold Filters and Neural Networks: Geometric Graph Signal Processing in the Limit”
MEAM Seminar: “Microscopic Mayhem: Cancer in Three-Dimensions”
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
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
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”
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. […]
Wednesday, April 16, 2025
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April 16, 2025 -ASSET Seminar: “Learning Reliable and Robust Generative Intelligence”
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April 16, 2025ESE Ph.D. Thesis Defense: “Training Adaptive and Sample-Efficient Autonomous Agents”
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April 16, 2025 -Spring 2025 GRASP SFI: Anastasia Bizyaeva, Cornell University, “Nonlinear dynamics of social decision-making and belief formation”
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April 16, 2025 -CBE Seminar: “Computational Design and Simulations of Soft Matter: From Molecular Insights to Functional Materials” (Antonia Statt, UIUC)
ASSET Seminar: “Learning Reliable and Robust Generative Intelligence”
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”
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”
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)
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), […]
Thursday, April 17, 2025
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April 17, 2025 -MSE Seminar: “Foundry Enabled Chip-Scale Photonics Technology and Applications” Shaya Fainman – University of California, San Diego (UCSD)
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April 17, 2025 -IDEAS/STAT Optimization Seminar: Resilient Distributed Optimization for Cyberphysical Systems
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April 17, 2025 -CIS Seminar: “Correctness Matters: Automatic Software Engineering in the age of Generative AI”
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April 17, 2025 -The Future of AI: A Fireside Chat with Yann LeCun, Chief AI Scientist at Meta
MSE Seminar: “Foundry Enabled Chip-Scale Photonics Technology and Applications” Shaya Fainman – University of California, San Diego (UCSD)
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 circuits (Fourier transform spectrometer, programmable phase modulator of free space modes, linear algebra processors, etc.). In this talk we will discuss recent progress in developing […]
IDEAS/STAT Optimization Seminar: Resilient Distributed Optimization for Cyberphysical Systems
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 stochastic values of trust between agents are available which allows agents to learn their trustworthy neighbors simultaneously with performing updates to minimize their own local […]
CIS Seminar: “Correctness Matters: Automatic Software Engineering in the age of Generative AI”
Software engineers never start from a blank page, but rather from an extant and usually long-running project in need of modification (for repair, extension, update, etc.). One way to view modern programming is thus as a continual process of iteratively transforming existing programs into something new, and hopefully better. In this talk, I will discuss […]
Friday, April 18, 2025
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April 18, 2025 -ESE Ph.D. Thesis Defense: “Neural Compression: Estimating and Achieving the Fundamental Limits”
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April 18, 2025 -MSE PhD Defense: “Chromatin as an Active and Adaptive Material”
ESE Ph.D. Thesis Defense: “Neural Compression: Estimating and Achieving the Fundamental Limits”
Neural compression, which pertains to compression schemes that are learned from data using neural networks, has emerged as a powerful approach for compressing real-world data. Neural compressors often outperform classical schemes, especially in settings where reconstructions that are perceptually similar to the source are desired. Despite their empirical success, the fundamental principles governing how neural […]
MSE PhD Defense: “Chromatin as an Active and Adaptive Material”
The three-dimensional organization of chromatin within the cell nucleus plays a critical role in regulating gene expression, maintaining genome stability, and guiding cellular responses to environmental cues. Despite advances in imaging and sequencing technologies, the fundamental principles governing chromatin architecture and dynamics, particularly the role of associated proteins like HP1α in driving these processes, remain […]
Saturday, April 19, 2025
No events on this day.