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    • MEAM Seminar: “Making Dynamic Robots Taskable”

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

    In this talk, I will share some insights and observations from our work on Atlas, the world's most dynamic humanoid robot. I'll talk about some of the core ideas—like model-predictive control (MPC)—that have made an impact for us, how learning is playing a larger role in how we design control systems at Boston Dynamics, and […]

    CIS Seminar: “Obfuscation of Quantum Computation”

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

    Protecting secrets within computer systems is a central mission of cryptography. Program obfuscation, which scrambles computer code without harming its functionality, is an immensely powerful and versatile tool for accomplishing this task that has been the subject of intense study in classical cryptography. Yet, the ability to obfuscate quantum computation had previously remained elusive to […]

    ASSET Seminar: “Towards A New Frontier of Trustworthy AI: Interpretable Machine Learning Algorithms that Produce All Good Models” (Chudi Zhong, Duke University)

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

    ABSTRACT: Machine learning has been increasingly deployed for high-stakes decisions that deeply impact people’s lives. My research focuses on developing interpretable algorithms and pipelines to ensure the safe and efficient utilization of machine learning models in the decision-making process. In this talk, I will introduce a new paradigm, called learning the Rashomon set, which finds and stores […]

    Spring 2024 GRASP SFI: Raphael Zufferey, École Polytechnique Fédérale de Lausanne, “Flying robots: exploring hybrid locomotion and physical interaction”

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    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. This week's speaker will be virtual. ABSTRACT Autonomous flying robots have become widespread in recent years, yet their capability to interact with the environment. remains limited. Moving in multiple fluids is one of the great challenges of mobile […]

    CBE Seminar: “Optimal Control as a catalyst for Smart and Sustainable Systems” (Benjamin Decardi-Nelson, Cornell)

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

    Abstract: In modern engineering, sustainability is a crucial aspect, especially in chemical and biological process systems. This concept has evolved to encompass a holistic approach, emphasizing not only the use of sustainable resources but also the development of systems that are environmentally friendly, smart, and efficient. Such systems aim to minimize waste and optimize resource […]

    • BE Seminar: “Imaging the Brain for Deeper, Finer, and More Diverse Insight” (Fei Xia, Ecole Normale Supérieure)

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

    The brain is a powerful organ that regulates health and drives intelligence. How can we see more clearly into the working brain to understand it better? High-resolution optical microscopy has long been an ideal tool due to its spatial sub-micron precision and specificity. However, achieving the necessary spatio-temporal scale for further advancing our understanding of […]

    Spring 2024 GRASP on Robotics: John Doyle, California Institute of Technology, “Control/Architecture/Control”

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

    This is a hybrid event with a VIRTUAL SPEAKER. There will be in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT This talk will describe progress in developing a universal theory of architectures for complex networks, motivated by and applied to aerospace, process control, internet, cyberphysical, ecosystems, multiscale physics, turbulence, biology, neuroscience, […]

    PICS Colloquium: “Exploring the landscape of model representations”

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

    Many studies adopt low-resolution, coarse-grained (CG) models to investigate polymers, proteins, and other soft materials. These studies must first specify the details that are retained in the low-resolution model, i.e., they must specify the “CG representation.” Unfortunately, the “best” representation for complex systems is not always obvious. In this study, we systematically explore the space […]

    MEAM Seminar: “Towards the Discovery of Trustworthy and Interpretable ML-enabled Constitutive Laws for Solids from Low- and Limited-data”

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

    Machine learning techniques are gearing up to play a significant role in the field of computational solid mechanics and multiphysics, enabling the integration of experimental data and physical constraints towards data-driven constitutive laws, acceleration of computational techniques for multi-scale modeling, and new paradigms for the solution of forward and inverse problems, to name a few. […]

    CIS Seminar: ” How Algorithms Can Support Deliberative Democracy”

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

    Academics and political practitioners around the world are experimenting with a class of democratic innovations called deliberative mini-publics (DMs). In a DM, a panel of constituents convenes to deliberate about specific issues and make policy recommendations to traditional political decision-makers (e.g., legislators). Nearly all DMs rely on sortition – random selection – to choose the panelists. Sortition is often thought of as […]

    Spring 2024 GRASP SFI: Andrew Owens, University of Michigan, “Multimodal Learning from the Bottom Up”

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    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 Today's machine perception systems rely extensively on supervision provided by humans, such as natural language. I will talk about our efforts to make systems that, instead, learn from two ubiquitous sources of unlabeled sensory data: visual motion […]