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    • IDEAS/STAT Optimization Seminar: “Gradient Equilibrium in Online Learning”

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

    We present a new perspective on online learning that we refer to as gradient equilibrium: a sequence of iterates achieves gradient equilibrium if the average of gradients of losses along the sequence converges to zero. In general, this condition is not implied by, nor implies, sublinear regret. It turns out that gradient equilibrium is achievable […]

    Spring 2025 GRASP on Robotics: Lingjie Liu, University of Pennsylvania, “Towards Next-Gen 3D Reconstruction and Generation: From Visual Fidelity to Multimodal and Physical Understanding”

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

    This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. This seminar will NOT be recorded. ABSTRACT Recent years have witnessed remarkable progress in 3D reconstruction and generation. However, most existing methods primarily focus on modeling geometry and appearance. I believe the next generation of 3D reconstruction […]

    CBE Doctoral Dissertation Defense: “Context-Dependent Protein Surface Hydrophilicity” (Lilia F. Escobedo)

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    Vagelos Institute for Energy Science and Technology, Room 121 231 S 34th Street, Philadelphia, PA, United States

    Abstract: Proteins perform many important biological functions while also avoiding fouling in an aqueous and crowded cellular environment. Their surfaces have evolved to be both chemically heterogeneous (containing nonpolar, polar, and charged groups) as well as hydrophilic. While nonpolar groups are known to induce hydrophobicity, surface heterogeneity has been found to enhance hydrophilicity and the […]

    Penn Engineering Entrepreneurship (EENT): Generative AI Panel

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    Amy Gutmann Hall, Auditorium 3333 Chestnut Street, Philadelphia, PA, United States

    A panel hosted by Penn Engineering Entrepreneurship (EENT) highlighting the importance of AI for the next generation of leaders and showcasing how Penn has been, and will continue to be, at the forefront of this evolving field. Panelists include: Elizabeth (Liz) Golden CEO & Co-Founder @ Wavelet Medical Mel Tang Founding Operating Partner & CFO of Matter […]

    PICS Colloquium: Multiscale simulations of soft matter: from block copolymers to biomolecular condensates

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    PICS Conference Room 534 - A Wing , 5th Floor 3401 Walnut Street, Philadelphia, PA, United States

    Polymers are ubiquitous in both synthetic and biological materials and underlie technologies as diverse as surfactants, adhesives, proteins and DNA. One of the defining features of all polymeric materials is that they are characterized by a wide range of length scales, often involving phenomena that span nanometers to microns. This hierarchy of length scales presents […]

    AI Infrastructure: Foundations for Energy Efficiency and Scalability

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    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”

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    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”

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    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

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    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

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    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”

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    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”

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    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 […]