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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.
Gregory D. Spriggs
Nuclear Science and Engineering | Volume 116 | Number 1 | January 1994 | Pages 67-72
Technical Note | doi.org/10.13182/NSE94-A21482
Articles are hosted by Taylor and Francis Online.
Time-domain noise analysis techniques such as the Rossi-α, the variance-to-mean, and the interval-distribution methods can be used to measure fundamental reactor parameters in a wide variety of reactor systems, provided the power level of the system is not too high. Simple expressions have been derived that define the maximum power level (i.e., the “reactor noise threshold”) above which time-domain reactor noise techniques are likely to fail in subcritical, critical, and supercritical systems.