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From natural language to control signals: a conceptual framework for semantic channel finding in complex experimental infrastructure

Modern experimental platforms such as particle accelerators, fusion devices, telescopes, and industrial process control systems expose tens to hundreds of thousands of control and diagnostic channels, accumulated over decades of hardware evolution. Operators and AI systems alike depend on informal e...

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Principais autores: Thorsten Hellert, Nikolay Agladze, Alex Giovannone, Jan Jug, Frank Mayet, Mark Sherwin, Antonin Sulc, Chris Tennant
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2026-01-01
Serier:Machine Learning: Science and Technology
Fag:
semantic search
control systems
large language models
particle accelerators
channel finding
natural language processing
Online adgang:https://doi.org/10.1088/2632-2153/ae8219
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