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Workshop: AI4EIC-Exp - Experimental Applications of Artificial Intelligence for the Electron Ion Collider

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Online
Amber Boehnlein (Jefferson Lab), Cristiano Fanelli (MIT), Jan Bernauer (Stony Brook University and RBRC), Tanja Horn (Cath)
Description

Artificial intelligence (AI) is generating a lot of buzz in the computing world and is often referred to as the revolution of the new millennium as it is becoming ubiquitous in all sectors of everyday life. AI will be an essential part of future experiments like the Electron Ion Collider, a new $2B high-luminosity facility capable to collide high-energy electron beams with high-energy proton and ion beams that will be built at BNL in approximately 10 years from now to unlock the secrets of the "glue" that binds the building blocks of visible matter in the universe.

AI can provide new insights and discoveries from both experimental and computational data produced at user facilities. For example, “AI techniques that can optimize the design of complex, large-scale experiments have the potential to revolutionize the way experimental nuclear and particle physics is currently done”. In this context, the R&D program of the EIC for the next years could be one of the first experimental programs systematically leveraging AI. An important step in this direction was recently achieved with the first use of AI-driven applications in the design of Particle Identification detectors for EIC.

The goal of the AI4EIC-exp workshop is to address in this strategic moment how AI might contribute to advance research, design and operation of the future EIC. The Workshop will bring together the communities directly using AI technologies and provide a venue for discussion and identifying the specific needs for EIC.

Proceedings will be published in the Journal of Instrumentation.

Link to the live Q&A document. 

Link to the AI4EIC website: https://eic.ai

Due to the COVID-19 virus, we will hold the workshop online using Zoom . 

Join Zoom Meeting
https://stonybrook.zoom.us/j/92525375517?pwd=NWFkUGJTK2NNek5tamU0WGdSYXRDUT09

Meeting ID: 925 2537 5517
Passcode: 525206

This event is part of the CFNS workshop/ad-hoc meeting series. See the CFNS conferences page for other events.

 

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Registration
AI4EIC-Exp
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Participants
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  • Tue, September 7
    • 9:00 AM → 9:45 AM
      Day 1 morning: Welcome and Introduction
      Conveners: Amber Boehnlein (Jefferson Lab), Cristiano Fanelli (MIT), Jan Bernauer (Stony Brook University and RBRC), Tanja Horn (Cath)
    • 9:45 AM → 10:00 AM
      break 15m
    • 10:00 AM → 1:00 PM
      Day 1 morning
      Conveners: Friederike Bock (ORNL), Malachi Schram
    • 1:00 PM → 2:00 PM
      Lunch break 1h
    • 2:00 PM → 5:00 PM
      Day 1 afternoon
      Conveners: Corey Adams (ANL), Makoto Asai (SLAC)
  • Wed, September 8
    • 10:00 AM → 1:00 PM
      Day 2 morning
      Conveners: Liliana Teodorescu (Brunel U. ), Thomas Ullrich (BNL), Yulia Furletova (Jefferson Lab)
    • 1:00 PM → 2:00 PM
      Lunch break 1h
    • 2:00 PM → 5:00 PM
      Day 2 afternoon
      Conveners: Liliana Teodorescu (Brunel U. ), Thomas Ullrich (BNL), Yulia Furletova (Jefferson Lab)
  • Thu, September 9
    • 10:00 AM → 1:00 PM
      Day 3 morning
      Conveners: Benjamin Nachman, Thomas Britton (JLab)
      • 10:00 AM
        Accelerator and Detector Control: Introduction 5m
        Speakers: Benjamin Nachman, Thomas Britton (JLab)
        AI4EIC-controlsession.pdf
      • 10:05 AM
        Anomaly detection/Online data quality monitoring 22m
        Speaker: Kishansingh Rajput (JLab)
        AI4EIC_Hydra.pdf
      • 10:27 AM
        Online low-level calibration and operational conditions 22m
        Speaker: Torri Jeske (JLab)
        AI4EIC_Jeske.pdf
      • 10:49 AM
        Online high-level calibration and analysis 22m
        Speaker: Williams Mike (MIT)
        Williams_AI4EIC.pdf
      • 11:15 AM
        break 15m
      • 11:30 AM
        Trigger rate control and allocation 22m
        Speaker: David Miller (University of Chicago)
        Miller_SelfDrivingTrigger_AI4EIC_Sep2021.pdf
      • 11:52 AM
        Machine Learning in trigger deployment 22m
        Speaker: Nhan Tran (Fermilab)
        AI4EIC.pdf
      • 12:14 PM
        Accelerator control 22m
        Speaker: Aurelee Edelen (SLAC)
        20210908_AIEIC_Edelen.pdf
      • 12:36 PM
        Discussion 24m
    • 1:00 PM → 2:00 PM
      Lunch break 1h
    • 2:00 PM → 5:00 PM
      Day 3 afternoon
      Conveners: Dr Jin Huang (Brookhaven National Lab), Philip Harris (MIT)
      • 2:00 PM
        Detector Readout: Introduction 5m
        Speakers: Jin Huang (Brookhaven National Lab), Philip Harris (MIT)
        Intro to computing session.pdf
      • 2:05 PM
        Overview of AI in HEP readout 30m
        Speakers: Dylan Rankin (MIT), Dylan Rankin (MIT)
        ai4eic_dsr_hep.pdf
      • 2:40 PM
        EIC readout overview 30m
        Speaker: Fernando Barbosa (JLab)
        AI4EIC EIC Readout Overview 9SEP2021.pptx
      • 3:15 PM
        break 15m
      • 3:30 PM
        Real-time AI tracking and tagging 20m
        Speakers: Dantong Yu (New Jersey Institute of Technology), Dantong Yu (Computational Science Center)
        AI4EIC-Exp.pptx
      • 3:53 PM
        Real-time data compression with Bicephalous Convolutional Auto-Encoder 20m
        Speaker: Dr Yi Huang (BNL/CSI)
        2021-09-09_Slides_AI4EIC.pdf
      • 4:16 PM
        Event tagging and triggering on FPGA 20m
        Speaker: Dr Sergey Furletov (JLab)
        MLFPGA_AI4EIC_2021_09_09_w.pdf
      • 4:40 PM
        Discussion 20m
  • Fri, September 10
    • 10:00 AM → 1:00 PM
      Day 4 morning
      Conveners: Gabriel Perdue (Fermilab), Olivier Pfister (U. Va.), Wouter Deconinck
      • 10:00 AM
        Computing Frontiers: Introduction 5m
        Speakers: Gabriel Perdue (Fermilab), Olivier Pfister (U. Va.), Wouter Deconinck (UManitoba)
      • 10:05 AM
        Quantum Simulations 22m
        Speaker: Henry Lamm (FNAL)
        Lamm_Presentation.pdf
      • 10:27 AM
        AI/ML for complex systems 22m
        Speaker: Malachi Schram
        SchramAIComplexSystems_v2.pdf
      • 10:49 AM
        AI on a chip 22m
        Speaker: Farah Fahim (FNAL)
        AI_on_chip_EIC.pdf
      • 11:11 AM
        Heterogeneous computing 22m
        Speaker: Travis Humble (ORNL)
        Computational Frontier Heterogenous Computing Humble 2021-09-10.pdf
      • 11:45 AM
        break 15m
      • 12:00 PM
        Computing Frontiers - Panel Discussion 45m
        • Panel discussion 45m
          Speakers: Farah Fahim (FNAL), Henry Lamm (FNAL), Malachi Schram, Travis Humble (ORNL)
      • 12:45 PM
        Discussion 15m
    • 1:00 PM → 2:00 PM
      Lunch break 1h
    • 2:00 PM → 5:00 PM
      Day 4 afternoon
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