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DTSTAMP:20250407T223224
DTSTART;TZID=America/Detroit:20250411T120000
DTEND;TZID=America/Detroit:20250411T130000
SUMMARY:Workshop / Seminar:Frontiers in Scientific Machine Learning Seminar 12: Operator Networks Based on Numerical Analysis
DESCRIPTION:11th April 2025\, 12pm -1pm\nVenue: 2636 GGBA and Zoom \nZoom Link: https://umich.zoom.us/j/97823527756?pwd=H01BbvtuG5q02Wzb8LJvhUnvijlAIe.1\n\nAbstract: We propose a novel approach for solving parametric partial differential equations (PDEs) using an operator network. This method combines the strengths of deep learning with traditional numerical techniques\, specifically the finite element or spectral element methods\, to address parametric PDEs ranging from singularly perturbed convection-diffusion equations to the Navier-Stokes equations\, all without requiring paired input-output training data. Through extensive experiments on various benchmark problems\, our approach has demonstrated excellent performance across diverse settings\, showcasing its versatility in terms of accuracy\, generalization\, and computational efficiency. The proposed framework holds significant potential for applications in fields where PDEs are critical for modeling complex domains with diverse boundary conditions and singular behavior. Additionally\, we provide a rigorous theoretical convergence analysis\, grounded in numerical analysis\, to further support our approach.\n\nBio: As an Associate Professor at Seoul National University\, Youngjoon Hong focuses his research on the mathematics of machine learning and its applications in scientific computing. He earned his Ph.D. in Mathematics with a minor in Scientific Computing from Indiana University under the guidance of Professor Roger Temam\, where he developed a strong foundation in theoretical analysis and computational techniques. During his postdoctoral work at the University of Illinois at Chicago with Professors Jerry Bona and David Nicholls\, he conducted research on electromagnetic and water waves\, further honing his problem-solving skills. He later initiated independent studies on the use of neural networks in scientific research\, leading to a focused research program at San Diego State University\, where he began investigating neural network approximation within scientific machine learning. Currently\, his work is dedicated to developing theoretical frameworks that enhance the reliability and applicability of neural networks in addressing complex scientific and engineering challenges.
UID:134709-21874775@events.umich.edu
URL:https://events.umich.edu/event/134709
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sciml,Ai In Science And Engineering,Deep Learning,Machine Learning,North Campus,Scientific Computing
LOCATION:GG Brown Laboratory - 2636
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250411T112031
DTSTART;TZID=America/Detroit:20250411T120000
DTEND;TZID=America/Detroit:20250411T133000
SUMMARY:Workshop / Seminar:Global Sip & Paint: Celebrating Heritage
DESCRIPTION:Reflect cultural heritage in a fun and unique way by painting while sipping and partaking in cultural drinks and snacks from around the world! A light lunch will also be served. 
UID:134437-21874358@events.umich.edu
URL:https://events.umich.edu/event/134437
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:OGPS Lounge
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250414T090112
DTSTART;TZID=America/Detroit:20250411T120000
DTEND;TZID=America/Detroit:20250411T140000
SUMMARY:Social / Informal Gathering:Go Blue - Mobile AI at U-M: Swag Giveaway
DESCRIPTION:Meet the Emerging Technology team from ITS on campus to learn about Go Blue\, the new AI mobile app for the U-M Community. Come by our table to download the app\, ask questions\, and grab some exclusive Go Blue swag! \n\n\nLearn more about Go Blue at https://goblueai.umich.edu\n\nDownload Go Blue for iOS: https://apps.apple.com/us/app/go-blue-ai/id6740406959\nDownload Go Blue for Android: https://play.google.com/store/apps/details?id=edu.umich.mobile.goblue
UID:134013-21873889@events.umich.edu
URL:https://events.umich.edu/event/134013
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Its,U-m Gpt,Artificial Intelligence,information technology,information and technology,In Person,Go Blue App,Generative Ai,Genai,Free
LOCATION:Duderstadt Center
CONTACT:
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