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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
E.C. Davey, R.G.C. McElroy, S. Kupca
Fusion Science and Technology | Volume 8 | Number 2 | September 1985 | Pages 2089-2094
Monitoring and Measurement | Proceedings of the Second National Topical Meeting on Tritium Technology in Fission, Fusion and Isotopic Applications (Dayton, Ohio, April 30 to May 2, 1985) | doi.org/10.13182/FST85-A24592
Articles are hosted by Taylor and Francis Online.
A Tritium Extraction Plant (TEP) is under construction at the Chalk River Nuclear Laboratories (CRNL) for the extraction of tritium from the heavy water moderator and coolant of research and power reactors owned by Atomic Energy of Canada Limited. Since the process equipment will contain a large inventory of tritium (∼20 g), plant operating personnel must be continually aware of process stream activity levels for economic reasons and promptly alerted in the event of leakage for personnel health protection purposes and inventory loss minimization. Consequently, the TEP is equipped with a number of tritium monitors for the continuous measurement of tritium contained in the process equipment, the building air and the plant exhaust stacks. This paper outlines the approach taken to provide tritium monitoring at the TEP for health protection, environmental and process requirements and describes the general features of specific monitors in each classification.