2nd workshop on Artificial Intelligence for the Electron Ion Collider

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Sessions*

Welcome & Intro to AI4EIC

Overview

Opportunities for AI in NP and EIC

Discussion

AI/ML for Design

AI/ML for Design

Experiment/Theory Connections

Experiment/Theory Connections

Reconstruction and Particle Identification

Infrastructure and Frontiers

Streaming

Summary and Future

Hackathon

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Contributions*

A(I)DAPT (in session "Experiment/Theory Connections")

Adaptive experimentation to assist detector design at EIC: from ECCE to ePIC and beyond (in session "AI/ML for Design")

AI for Experimental Controls (in session "Streaming")

AI for streaming readout: an architectural perspective (in session "Streaming")

AI-based data reduction for streaming DAQ (in session "Streaming")

AI-driven detector design for the EIC (in session "AI/ML for Design")

AI/ML hardware co-design (in session "Infrastructure and Frontiers")

AI/ML overview for accelerator design activities (in session "AI/ML for Design")

AI/Ml with HPC (in session "Infrastructure and Frontiers")

Data-driven learning: Flux+Mutability (in session "Reconstruction and Particle Identification")

Differentiable Simulations (in session "Experiment/Theory Connections")

Discussion (in session "Experiment/Theory Connections")

DOE perspective on opportunities for AI in nuclear physics (in session "Opportunities for AI in NP and EIC")

EIC schedule and overview (in session "Overview")

Fast Detector Simulations with Machine Learning (in session "Experiment/Theory Connections")

Fast ML for FPGA (in session "Streaming")

Femtoscale Imaging of Nuclei using ML and Exascale Platforms (in session "Experiment/Theory Connections")

Foundation Model Infrastructure (in session "Infrastructure and Frontiers")

Future (in session "Summary and Future")

Hackathon on October 14 (in session "Summary and Future")

INDRA-ASTRA (in session "Streaming")

Interpretable Networks for Identifying Leptons (in session "Reconstruction and Particle Identification")

Lambda event tagging at CLAS12 (in session "Reconstruction and Particle Identification")

Machine Learning in ACTS (in session "Reconstruction and Particle Identification")

Machine Learning in Spectroscopy and Partial Wave Analysis (in session "Experiment/Theory Connections")

Machine Learning with FPGA (in session "Infrastructure and Frontiers")

ML application for beam optics control in the LHC (in session "AI/ML for Design")

ML for calorimetry (in session "Reconstruction and Particle Identification")

ML for Heavy Flavor Identification (in session "Streaming")

ML for QCD Analysis - 3D Imaging (in session "Experiment/Theory Connections")

ML particle identification with measured shower profiles from calorimetry (in session "Reconstruction and Particle Identification")

Modeling Hadronization Using ML and the Cluster Model (in session "Experiment/Theory Connections")

Modeling Hadronization Using ML and the Lund String Model (in session "Experiment/Theory Connections")

Muon Identification with Deep Learning at EIC (in session "Reconstruction and Particle Identification")

NSF perspective on opportunities for AI in nuclear physics (in session "Opportunities for AI in NP and EIC")

overview talk on ML-based unfolding (in session "Experiment/Theory Connections")

Panel Discussion (in session "Infrastructure and Frontiers")

Reconstructing DIS and SIDIS properties (in session "Experiment/Theory Connections")

Streaming Readout for Next Generation Electron Scattering Experiments (in session "Streaming")

Summaries (in session "Summary and Future")

Tagging heavy flavor jets @ RHIC (in session "Reconstruction and Particle Identification")

Tutorial on Ax/Botorch: Multi-Objective Optimization (in session "AI/ML for Design")

Tutorial on Graph Neural Networks (in session "Summary and Future")

Tutorial on MLFlow (in session "Infrastructure and Frontiers")

Tutorial on Unfolding (in session "Experiment/Theory Connections")

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Events scheduled on*

10/10/2022

11/10/2022

12/10/2022

13/10/2022

14/10/2022

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