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Penn Engineering 2023-24 Pender Award Lecture: Shafi Goldwasser
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 […]
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 […]
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 […]
ASSET Seminar: “Paths to AI Accountability” (Sarah Cen, Massachusetts Institute of Technology)
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street, Philadelphia, PA, United States
ABSTRACT: In the past decade, we have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When […]
CBE Seminar: “Molecular Microscopy with Single Cell Transcriptomic Data Resolves RNA Liquid Biopsies” (Sevahn Vorperian, Stanford)
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Abstract Invasive biopsy is the gold standard for diagnosing several diseases; however, these procedures offer a limited, localized view of the disease pathology to the physician and are not risk-free […]
Evolution of Data Storytelling: Women in Data Science x Penn Museum Tour + Workshop
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The Penn Museum
3260 South St, Philadelphia, PA, United States
Join us for an exciting kick-off event at the Penn Museum as part of the Women in Data Science (WiDS) @ Penn conference, where the past meets the future in a guided tour and storytelling workshop.
BE Seminar: “Mapping and engineering gene expression with chemical and spatial lenses” (Hailing Shi, Broad Institute & MIT)
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street, Philadelphia, PA, United States
Precise RNA expression, tailored to specific brain regions, cell types, and subcellular compartments, is pivotal for orchestrating complex brain functions. In the first part of my talk, I will introduce […]
CIS Seminar: “Rethinking Data Use in Large Language Models”
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Large language models (LMs) such as ChatGPT have revolutionized natural language processing and artificial intelligence more broadly. In this talk, I will discuss my research on understanding and advancing these […]
Women in Data Science @ Penn
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Jon M. Huntsman Hall
3730 Walnut Street, Philadelphia, PA, United States
The Wharton School and Penn Engineering are proud to host the fifth annual Women in Data Science (WiDS) @ Penn Conference on February 8-9, 2024, on the University of Pennsylvania’s […]
Spring 2024 GRASP on Robotics: Qixing Huang, University of Texas at Austin, “Geometric Regularizations for 3D Shape Generation”
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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 Generative models, which map a latent parameter space to instances in an […]
PICS Colloquium: “Wall-models of turbulent flows via scientific multi-agent reinforcement learning”
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PICS Conference Room 534 - A Wing , 5th Floor
3401 Walnut Street, Philadelphia, PA, United States
The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and […]