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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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