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09:00
Overview of Artificial Intelligence at RHIC and Beyond
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Hannah Bossi
(Massachusetts Institute of Technology (MIT))
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09:30
Generative AI for full-detector, whole-event simulation of heavy ion collisions
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Yeonju Go
(Brookhaven National Laboratory )
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10:00
Interpretable Machine Learning applications to Jet Background Subtraction
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Charles Hughes
(Iowa State University)
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11:00
Real-Time Information Distillation with Deep Neural Network-based Compression Algorithms
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Yi Huang
(Brookhaven National Laboratory)
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11:30
FastML triggering in sPHENIX (Autonomous selection of physics events)
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Cameron Dean
(Massachusetts Institute of Technology (MIT))
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12:00
Machine Learning Application in Jet Quenching Analysis
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Yilun Wu
(Vanderbilt University)
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13:30
AI/ML applications for the EIC (Virtual)
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Cristiano Fanelli
(College of William & Mary)
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14:00
Towards ML Calibration with the ePIC Barrel Hadronic Calorimeter
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Derek Anderson
(Iowa State University)
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14:30
Machine Learning Applications for EBIS Beam Intensity and RHIC Luminosity Maximization
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Xiaofeng Gu
(Collider Accelerator Department, BNL)
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15:30
Machine learning applications in particle accelerators
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Yuan Gao
(Collider Accelerator Department, BNL)
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16:00
MultiFold
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Youqi Song
(Yale University)
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16:30
Adventures in OmniFold: Multivariable Unfolding of Jet-Level Observables with STAR Data (Virtual)
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Hannah Harrison
(University of Kentucky)
