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    • CIS Seminar: “Learning to Perceive the 4D World”

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

    Perceiving the 4D world (i.e., 3D space over time) from visual input is essential for human interaction with the physical environment. While computer vision has made remarkable progress in 3D scene understanding, much of it remains piecemeal—for example, focusing solely on static scenes or specific categories of dynamic objects. How can we model diverse dynamic […]

    CIS Seminar: “Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI”

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

    We have made exciting progress in AI by massive models on massive amounts of data center compute. However, the demands for AI are rapidly expanding. I identify how to maximize performance under any compute constraint, expanding the Pareto frontier of AI capabilities.   This talk builds up to an efficient language model architecture that expands […]

    Spring 2025 GRASP on Robotics: Mac Schwager, Stanford University, “Perception-Rich Robot Autonomy with Neural Environment Models”

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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. ABSTRACT Recent advances in computer vision have led to the rise of highly expressive 3D scene models such as NeRFs and GSplats. More than just rendering lifelike images, these models allow robots to ground visual, semantic, physical, […]

    CBE Doctoral Dissertation Defense: “Computational Materials Design for Exerting Control over Ice Formation” (Zachariah Vicars)

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    Room 313, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

    Abstract: Ice formation plays an important role in a wide range of contexts, from serving as nuclei for clouds in the upper atmosphere to forming on the surfaces of aircraft and ships, reducing their performance. Controlling the formation of ice using additives or novel coatings has, consequently, been a long-standing pursuit in materials science. Here, […]

    Celebration of Community

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

    The Cora Ingrum Center for Community and Outreach is planning its annual Celebration of Community gala to showcase Penn Engineering students, staff, and faculty in their multi-talented richness. The event will consist of guest speakers, performances, presentations from student groups, and a variety of cuisines. Do not hesitate to contact Dr. Ocek Eke (ocek@seas.upenn.edu) and […]

    2024-2025 Heilmeier Award and Lecture

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    Wu & Chen Auditorium

    "Colloidal Nanocrystal Materials and Devices with Extraordinary Structures and Functions" Colloidal nanocrystals (NCs) can serve as "artificial atoms" to construct materials and devices with extraordinary structures and functions. This talk will discuss the process of designing materials and devices from single- and multiple-types of NCs. These designs can leverage the unique characteristics of NCs, in […]

    • Frontiers in Science: Engineering RNA and AI

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    Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

    This free, half-day event for undergraduates is hosted by the National Science Foundation Artificial Intelligence-driven RNA BioFoundry (AIRFoundry). Led by experts from the University of Pennsylvania and University of Puerto Rico, Mayagüez, the event will highlight how AI can enhance RNA, with applications in medicine, agriculture and more. Students will also be able to tour cutting-edge labs and engage […]

    MEAM Seminar: “Sticky Situations: Cohesion in Granular Flows”

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

    From silo discharge and granular avalanches to the erosion of granular beds, granular materials play a central role in many industrial and environmental processes. While significant advances have been made in understanding the statics and dynamics of cohesionless grains, the role of interparticle adhesion, which fundamentally alters bulk rheology and transport mechanisms, remains elusive. In […]

    CBE Doctoral Dissertation Defense: “Tailoring MXene Chemistry through Composition and Undercoordination for Applications in Hydrogen Chemistries” (Yamilée Morency)

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

    Abstract: Global transition to clean energy relies on the development of efficient hydrogen storage materials and hydrogen evolution reaction (HER) catalysts—two primary chemistries investigated in this thesis. MXenes, a family of two-dimensional transition metal carbides and nitrides, have emerged as promising candidates for hydrogen technologies due to their high electrical conductivity, chemical tunability, and structural […]

    CIS Seminar: “Generative Computer Vision for the Physical World”

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

    Generative models are revolutionizing our world, with the ability to generate photorealistic visual content that are indistinguishable from reality. Despite their overwhelming presence in the cyber world, they haven’t been very useful in the physical world that we live in. In this talk, I will present how the rich priors learned by large-scale generative models—ranging […]

    AI Across Disciplines: A Penn Initiative

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

    Join President J. Larry Jameson and Provost John L. Jackson, Jr. along with the Penn AI Council for the launch of Penn AI. Senior Vice Provost for Research Dawn Bonnell will lead a discussion with members of the Penn AI Council to explore AI’s societal implications and Penn’s potential to influence a more sustainable future. […]

    ASSET Seminar: “Getting Lost in ML Safety Vibes”

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

    Abstract:  Machine learning applications are increasingly reliant on black-box pretrained models. To ensure safe use of these models, techniques such as unlearning, guardrails, and watermarking have been proposed to curb model behavior and audit usage. Unfortunately, while these post-hoc approaches give positive safety ‘vibes’ when evaluated in isolation, our work shows that existing techniques are quite brittle when deployed […]