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    • Spring 2024 GRASP SFI: Madhur Behl, University of Virginia, “Bringing AI Up To Speed”

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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 Why has autonomous driving, a task demanding significant intelligence, not met the high expectations set by many? Which hurdles have turned out to be more formidable than expected, and how can we refine our testing methodologies for […]

    CBE Seminar: “Dynamics and Reactivity of Supported Catalysts in the Subnanometer Regime” (Ayman Karim, Virginia Tech)

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

    Abstract Supported noble metal catalysts are extensively used in industry and their catalytic performance is strongly affected by particle size and shape. In the last decade, supported single atoms and subnanometer clusters have attracted a lot of interest since they maximize the metal utilization and have shown extraordinary catalytic properties for many reactions. In this […]

    Condensed and Living Matter Seminar Series – “Optical Neural Networks for Faster AI and Superresolution Imaging”

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    DRL A8 209 S. 33rd Street, Philadelphia, PA, United States

    Although machine intelligence is taking over the world, its current digital electronic platform is very inefficient in terms of energy consumption. Switching to analogue computation, which function more like human brains than digital computers, will allow enhancing the energy efficiency by several orders of magnitude. Optics presents a particularly promising platform for analogue AI; however, […]

    MSE Seminar: “The Surface Dynamics of the Initial Stages of CU Oxidation”

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

    Much is known about oxygen interaction with metal surfaces and about the macroscopic growth of thermodynamically stable oxides. At present, however, the transient stages of oxidation - from nucleation of the metal oxide to formation of the thermodynamically stable oxide - represent a scientifically challenging and technologically important terra incognito. These issues can only be […]

    ESE Spring Seminar – “Neural Mechatronics and Mixed Reality for Patient Care”

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

    The rich set of mechanoreceptors found in human skin offers a versatile engineering interface for transmitting information and eliciting perceptions, potentially serving a broad range of applications in patient care and other important industries. Targeted multisensory engagement of these afferent units, however, faces persistent challenges, especially for wearable, programmable systems that need to operate adaptively […]

    BE Seminar: “A Task-Optimized Approach to Systems Neuroscience” (Aran Nayebi, MIT)

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

    Note that this seminar will be held in Wu & Chen Auditorium (Levine 101). Humans and animals exhibit a range of interesting behaviors in complex environments, and it is unclear how the brain reformats dense sensory information to enable these behaviors. To gain traction on this problem, new recording paradigms now facilitate the ability to […]

    MEAM Ph.D. Thesis Defense: “Computational Study on Rough Wall-Bounded Flows and their Effects at Low and Very-High Reynolds Numbers”

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    Towne 313 220 S. 33rd Street, Philadelphia, PA, United States

    Many relevant engineering fluid dynamics problems, such as turbulent flow over an airplane or transport processes in geophysical flows, contain wall-bounded regions that form boundary layers. Oftentimes, numerical and experimental studies are simplified by using smooth surfaces.  This simplification has allowed us to gain a greater understanding of near-wall processes for many flows of interest, […]

    Spring 2024 GRASP on Robotics: Jessy Grizzle, University of Michigan, “Michigan’s Robotics Department and Undergrad Curriculum – ‘Non c’è scommessa più persa di quella che non giocherò’ (There’s no bet more lost than the one I won’t even play)” — Ora by Jovanotti

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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 in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT After 39 years as a faculty member with continuous NSF support, the speaker has graduated his last PhD students, closed his lab, and turned 100% to teaching. From June 2016 through June 2021, he led Michigan’s Robotics […]

    Penn Engineering 2023-24 Heilmeier Faculty Award Lecture: Arjun Raj

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

    "Can a cell learn?" Ever since the genetic code was deciphered, we have increasingly come to view cellular control through the lens of genetic determinism. In this paradigm, a cell's fate is already written into its DNA, which is in turn shaped by Darwinian evolution over the course of many generations. At the same time, […]

    ASSET Seminar: “What Should We “Trust” in Trustworthy Machine Learning?” (Aaron Roth, University of Pennsylvania)

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

    ABSTRACT: "Trustworthy Machine Learning" has become a buzz-word in recent years. But what exactly are the semantics of the promise that we are supposed to trust? In this talk we will make a proposal, through the lens of downstream decision makers using machine learning predictions of payoff relevant states: Predictions are "Trustworthy" if it is in the interests of the downstream decision […]

    MEAM Ph.D. Thesis Defense: “Implementation and Performance of Wall Models for Large Eddy Simulation of Non-equilibrium Turbulent Boundary Layers”

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    Room B13, Chemistry Building 231 S. 34th Street, Philadelphia, PA, United States

    Accurate prediction of high-Reynolds-number wall-bounded turbulent flows is essential for the understanding and flow control of many engineering applications such as aircraft, turbomachinery, and marine vehicles. Additionally, most practical flows exhibit nonequilibrium effects such as pressure gradient, flow separation, and mean three-dimensionality. However, the direct numerical simulation (DNS) of high-Reynolds-number wall-bounded turbulent flows is not […]

    ESE PhD Thesis Defense: “Scalable and Risk-Aware Verification of Learning Enabled Autonomous Systems”

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    Moore 317 200 S 33rd Street, Philadelphia, PA, United States

    As autonomous systems become more prevalent, ensuring their safety will become more and more important. However, deriving guarantees for these systems is becoming increasingly difficult due to the use of black box, learning enabled components and the growing range of operating domains in which they are deployed. The complexity of the learning-enabled components greatly increases […]