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Sunday, October 16, 2022
No events on this day.
Monday, October 17, 2022
No events on this day.
Tuesday, October 18, 2022
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October 18, 2022 -MEAM Seminar: “Exergy-based Methods as a Promising Modern Thermodynamic Evaluation and Optimization Tool”
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October 18, 2022 -Joint PSOC/Center for Soft & Living Matter Seminar: “Feeling for cell function” (Jochen Guck, Max Planck Institute)
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October 18, 2022 -CIS Seminar: “Equilibrium Complexity and Deep Learning”
MEAM Seminar: “Exergy-based Methods as a Promising Modern Thermodynamic Evaluation and Optimization Tool”
Exergy-based methods are powerful tools for developing, evaluating, understanding, and improving energy conversion systems. In addition to conventional methods, advanced exergy-based analyses consider (a) the interactions among components of the overall system, and (b) the real potential for improving each important system component. The main role of an advanced analysis is to provide energy conversion […]
Joint PSOC/Center for Soft & Living Matter Seminar: “Feeling for cell function” (Jochen Guck, Max Planck Institute)
Fall 2022 Hybrid-Seminar Series Special joint seminar on Tuesday October 18th at 12:00 Noon Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
CIS Seminar: “Equilibrium Complexity and Deep Learning”
Deep Learning has recently made significant progress in learning challenges such as speech and image recognition, automatic translation, and text generation, much of that progress being fueled by the success of gradient descent-based optimization methods in computing local optima of non-convex objectives. From robustifying machine learning models against adversarial attacks to causal inference, training generative models, multi-robot interactions, […]
Wednesday, October 19, 2022
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October 19, 2022 -ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning, Zico Kolter, Ph.D. (Carnegie Mellon University)
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October 19, 2022 -Fall 2022 GRASP SFI: Srinath Sridhar, Brown University, “Learning to Generate, Edit, and Arrange 3D Shapes”
ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning, Zico Kolter, Ph.D. (Carnegie Mellon University)
ABSTRACT: Machine learning systems, in virtually every deployed system, encounter data from a qualitatively different distribution than what they were trained upon. Effectively dealing with this problem, known as domain shift, is thus perhaps the key challenge in deploying machine learning methods in practice. In this talk, I will motivate some of these challenges in […]
Fall 2022 GRASP SFI: Srinath Sridhar, Brown University, “Learning to Generate, Edit, and Arrange 3D Shapes”
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT In computer vision and robotics, we often need to deal with 3D objects. For instance, we may want to generate instances of 3D chairs, edit the generated chairs using natural language instructions, or arrange them in a canonical […]
Thursday, October 20, 2022
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October 20, 2022 -CIS Seminar: “Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels”
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October 20, 2022 -MSE Seminar: “What Governs Grain Boundary Migration?”
CIS Seminar: “Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels”
In many classification tasks, the ground truth is either noisy or subjective. Examples of noisy ground truth include: does this radiology image show a cancerous growth? does this radar data portend an imminent tornado? Examples of subjective ground truth include: which of two alternative paper titles is better? is this comment toxic? what is the […]
MSE Seminar: “What Governs Grain Boundary Migration?”
Curvature is the common driving force for grain boundary motion in all polycrystals. However, models and simulations derived from curvature-based motion cannot predict irregular, albeit commonly observed, grain growth behavior. To build better predictive models, we need to employ new tools to understand what governs grain growth. First, I will demonstrate how high energy x-ray […]
Friday, October 21, 2022
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October 21, 2022 -Fall 2022 GRASP on Robotics: Jim Ostrowski, Blue River Technology, “Robotics and Deep Learning in Production Agriculture”
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October 21, 2022 -PRECISE Center/xLab presents: Routing with Privacy for drone package delivery systems, Max Z. Li, Ph.D. (University of Michigan)
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October 21, 2022 -PICS Colloquium: “Computation of Flow-Induced Sound at Low Mach Numbers”
Fall 2022 GRASP on Robotics: Jim Ostrowski, Blue River Technology, “Robotics and Deep Learning in Production Agriculture”
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT With a growing population to feed, a heightened awareness of the environmental impact of agriculture, and continued challenges of labor availability, the need is greater than ever for advanced technologies applied to automation and autonomy in agriculture. […]
PRECISE Center/xLab presents: Routing with Privacy for drone package delivery systems, Max Z. Li, Ph.D. (University of Michigan)
ABSTRACT: Uncrewed aerial vehicles (UAVs), or drones, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale, drones are required to broadcast position information as codified in remote identification (remote ID) regulations. However, location broadcast of package delivery drones introduces a privacy risk for customers using these […]
PICS Colloquium: “Computation of Flow-Induced Sound at Low Mach Numbers”
Abstract: Flow-induced noise is a significant problem for air, road and marine vehicles as well as many other engineering applications. At low Mach numbers, large disparities in energy levels and length scales between the flow and the concomitant sound present unique challenges for acoustic predictions. This talk will start with a brief overview of computational […]
Saturday, October 22, 2022
No events on this day.
