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Conference Spotlight
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.
Leslie Cave, William E. Kastenberg
Nuclear Technology | Volume 71 | Number 1 | October 1985 | Pages 29-42
Technical Paper | Fission Reactor | doi.org/10.13182/NT85-A33708
Articles are hosted by Taylor and Francis Online.
The development and application of two quantitative methods that could be used as part of the decisionmaking process in the licensing of nuclear power plants are described. These methods are (a) the use of quantitative screening criteria to assess the adequacy of the safety functions in existing plants and (b) the use of value/impact or cost /benefit analysis to determine limits to the cost-effective expenditure on“back-fitting” to improve safety. It also is shown that the results obtained by the two methods are not necessarily compatible with one another. As an example, the two methods are applied to the question of improving the decay heat removal function for light water reactors. Screening criteria are presented for this function for both pressurized water reactors and boiling water reactors. The value/impact assessment is carried out as a function of site population, existing plant features, and new plant features.