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Dedicated AI/ML Accelerator Test Facility
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America/Los_Angeles
48/1-112A/B/C/D - Redwood A/B/C/D (SLAC)
48/1-112A/B/C/D - Redwood A/B/C/D
SLAC
90
Description
Registration is free. Hybrid will be available.
There is strong and growing interest across the accelerator and AI/ML community in an accelerator facility purpose-built and dedicated to AI/ML testing and operations, that could be called an AI Test Facility (AITF).
The impact of AI/ML on accelerator-based science has been well documented in numerous community reports in recent years. Yet a gap remains: no document has articulated what would be required to realize a fully AI/ML-integrated accelerator facility. What does the control system architecture look like? What computing infrastructure, both local and HPC, is needed? How should data acquisition, metadata tagging, and system configurability be designed? What types of access best serve the diverse communities that would use such a facility? Furthermore, accelerators are among the most complex engineered systems in science, making them an ideal environment for implementing AI/ML at scale and advanced algorithm testing.
We are also interested in examining the needs of fusion systems and any potential overlap with the needs of accelerators.
With such a broad range of topics to cover, the input needed to design a successful AITF extends to a wide variety of important stakeholders. A successful AITF will draw on the expertise of operations staff, accelerator physicists, data/computing and control systems infrastructure experts, facility users and the broader scientific community, academic researchers in AI/ML, robotics, controls, and related fields.
The time is right to develop a public-facing white paper that articulates the role, need, and requirements for a dedicated AI/ML test facility. The goal of this workshop is to produce a document that the broad community can endorse. A document that will serve as a reference and roadmap for the accelerator community at large.
Sessions:
Operation of scientific systems: Accelerators and Tokamaks
Operation of scientific systems: User Challenges and Needs
AI/ML Applications: AI/ML and Accelerators
Artificial Intelligence and Machine Learning: Complex Systems
Important dates
| April 14, 2026 | Registration Opens |
| July 15/16/17, 2026 | Workshop |
Contact
Registration
FACET-II AI Workshop Registration Form - Free
Participants
