Plans and strategy for edge AI/ML at the Electron-Ion Collider at Brookhaven National Laboratory

Scheduled to begin Operations in 2035, the Electron-Ion Collider (EIC) is being built at Brookhaven National Laboratory (BNL) and will be the only operating particle collider in the United States. It may also be the only large collider built in the world in the next 20-30 years, during the “Age of Artificial Intelligence (AI)”. Recognizing the potential for AI and machine learning (ML) to enhance operations and create more research opportunities, the EIC is being envisioned and designed as a large-scale AI-ready state-of-the-art facility. Specifically, it will support three core areas of AI/ML capabilities, referred to as Edge, End-to-End, and Bottom-Up. Edge capabilities are intended to address what are expected to be some of the most demanding AI/ML applications in the world in terms of timescales by anticipating the infrastructure, hardware, and local compute resources needed for success. At the same time, considerable care must be taken to ensure that these capabilities are manifested in an efficient, safe, and secure Controls ecosystem and Operations environment. We report on our plans and strategy for high-performance edge AI/ML at the EIC.

Publication Details

Journal
JACOW
Published
2025-12-05
DOI
https://doi.org/10.18429/jacow-icalepcs2025-wemr003
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Plans and strategy for edge AI/ML at the Electron-Ion Collider at Brookhaven National Laboratory

JACOW
IoT and Edge/Fog Computing
article

Plans and strategy for edge AI/ML at the Electron-Ion Collider at Brookhaven National Laboratory

article en

Abstract

Scheduled to begin Operations in 2035, the Electron-Ion Collider (EIC) is being built at Brookhaven National Laboratory (BNL) and will be the only operating particle collider in the United States. It may also be the only large collider built in the world in the next 20-30 years, during the “Age of Artificial Intelligence (AI)”. Recognizing the potential for AI and machine learning (ML) to enhance operations and create more research opportunities, the EIC is being envisioned and designed as a large-scale AI-ready state-of-the-art facility. Specifically, it will support three core areas of AI/ML capabilities, referred to as Edge, End-to-End, and Bottom-Up. Edge capabilities are intended to address what are expected to be some of the most demanding AI/ML applications in the world in terms of timescales by anticipating the infrastructure, hardware, and local compute resources needed for success. At the same time, considerable care must be taken to ensure that these capabilities are manifested in an efficient, safe, and secure Controls ecosystem and Operations environment. We report on our plans and strategy for high-performance edge AI/ML at the EIC.

JACOW
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
IoT and Edge/Fog Computing
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