Agentic artificial intelligence (AI) is moving beyond research demonstrations toward production use at scientific user facilities, including light sources, neutron sources, nanoscience centers, and autonomous laboratories. Its scientific value extends beyond increasing throughput. Agents can perform repeatable tasks in...
Ming Du, Xiang-Yu Yin, Michael H. Prince et al.· 0 citations
This work argues that autonomous scientific systems should emit portable, claim-aware artifact lineage as a minimum audit layer, and proposes a compact observability profile organized around individuals, operators, fitness records, lineage, archives, runs, streams, and steering commands.
Xiang-Yu Yin, Ming Du, Michael H. Prince et al.· 1 citation
Together, the deployed platform and its operations-grounded evaluation present a promising workflow for trustworthy, statistically grounded AI assistance in facility operations, transferable to other large scientific instruments.
Rajat Sainju, Dariusz Jarosz, Hai-Rong Shang et al.· arXiv.org· 0 citations
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