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    • CBE Seminar: “Natural Product Research for Human Health and Biocatalysis” (Wenjun Zhang, UC Berkeley)

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    Wu & Chen Auditorium

    Abstract: Natural products are historically great sources of human medicines, but their impacts are well beyond their use as drugs. In addition to well-known producers like environmental microbes and plants, the human microbiome is an emerging source of new natural products that often correlate with health or disease. There is an urgent need for the […]

    MSE Seminar: 1D Topological Systems for Next-Generation Electronics – Judy J. Cha – Cornell University

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

    Topological nanowires, topological materials confined in one dimension (1D), hold great promise for robust and scalable quantum computing and low-dissipation interconnect applications, which will transform current computing technologies. To do so, research in topological nanowires must continue to improve their synthesis and properties. In this talk, I will discuss my group’s efforts to develop a […]

    FOLDS seminar: Heaviside Composite Optimization: A new paradigm of optimization

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

    Zoom link: https://upenn.zoom.us/j/98220304722   A Heaviside function is an indicator function of a semi-infinite interval. A Heaviside composite function is a Heaviside function composed with a multivariate function that may be nonsnooth. This talk presents a touch of this novel class of discontinuous optimization problems that borders on continuous and discrete optimization. Among the rich applications […]

    AI Research Mixer 2025

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

    Event Date: Friday, September 19, 2025 Time: 8 a.m. to 5 p.m. Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering and Science The Warren Center for Network & Data Sciences DDDI Data Driven Discovery Initiative Penn AI Event Description: Please join us for a full […]

    [VIRTUAL SPEAKER]: Fall 2025 GRASP on Robotics: Max Welling, University of Amsterdam & CuspAI, “On the Role of Uncertainty in Automating the Scientific Process with AI”

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

    This event will have a VIRTUAL SPEAKER. Streaming will be in-person only in Wu and Chen.  ABSTRACT We are in the middle of a transformation of the scientific process. AI is now rapidly automating scientific discovery by accelerating scientific simulation and optimisation. For example, we can now shortcut expensive quantum mechanical calculations such as DFT […]

    PICS Colloquium: Enabling computationally efficient first-principles kinetic simulations in nanoporous catalysts using machine learning and data science with Brandon Bukowski

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

    Machine learning tools have tremendous potential to accelerate computationally complex physics-based simulations. One example is the need to accelerate materials discovery through first-principles Density Functional Theory (DFT) calculations. This seminar will encompass how machine learning interatomic potentials accelerate the discovery of crystalline nanoporous solids such as zeolites and metal-organic frameworks (MOFs) that are employed in […]

    MEAM Seminar: “Nature in Motion: Unraveling Locomotion across Mediums and Scales”

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

    Biology and Engineering form an interdisciplinary two-way street. On the one side, natural solutions can inform and inspire the design of mechanical systems. This is referred to as bioinspired design. On the other side, referred to as engineering-enabled biology, controlled engineering experimental, numerical, and analytical tools are used and developed to answer fundamental biological questions […]

    ESE Fall Seminar – “Architectures, Topologies and Control for High-Frequency Power Electronics”

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Power converters designed for higher frequency operation than conventional designs can be smaller and lighter. However, to gain these benefits and maintain high reliability the converters also need to be more efficient, as smaller converters offer less surface area for heat removal. The development of efficient, small and light weight power converters can benefit from […]

    MEAM Ph.D. Thesis Defense: “SLAM in Hard Places”

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    Eyebrow

    Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm of feature extraction and matching coupled with advancements in sensor technology have allowed robots to achieve sub meter localization accuracy over kilometer long trajectories in […]

    CBE Doctoral Dissertation Defense: “DROPS-ON-STILTS MICROROBOTS FOR TRANSPORT AND DELIVERY OF HYDROPHOBIC CARGO” (Oluwafemi Ligan)

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Abstract: Magnetically actuated microrobots composed of dynamic assemblies of iron oxide nanoparticles (IONPs) offer versatile opportunities for biomedical applications. While such assemblies can reconfigure and perform diverse tasks under applied magnetic fields, the effective transport of hydrophobic cargo remains a significant challenge. To address this limitation, we introduce “drops-on-stilts” microrobots formed by the co-assembly of […]

    ASSET Seminar: “How do LLMs generalize on out-of-distribution tasks? insights from model’s internal representations”

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

    A mystery of large language models (LLMs) is their ability to solve novel tasks, notably through a few demonstrations in the prompt (in-context learning). Such tasks often require the model to generalize far beyond its training distribution, raising the question: how do LLMs achieve this form of out-of-distribution (OOD) generalization? For example, in symbolized language […]

    Fall 2025 GRASP SFI: Deepti Ghadiyaram, Boston University, “Interpreting and Leveraging Generative Representations”

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

    This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom.  ABSTRACT Generating high-quality photo-realistic visual content is a thriving area of research. In this talk, I will focus not on the generation process, but on understanding how rich visual semantic information is represented within generative models. Specifically, I will […]