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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.
Kazuo Shin, Yoshitomo Uwamino, Tomonori Hyodo
Nuclear Technology | Volume 53 | Number 1 | April 1981 | Pages 78-85
Technical Paper | Analyse | doi.org/10.13182/NT81-A17059
Articles are hosted by Taylor and Francis Online.
An analysis was made on the propagation of errors from the response functions to the unfolded spectrum in the unfolding process from a pulse height distribution to an energy spectrum. In the derivation of formulas, the terms of high variance were ignored. Assumed errors of the response functions were limited to statistical errors in Monte Carlo calculations for the response functions. The unfolding processes used were the SIMPLE method and the FERDO method. The test calculations were done assuming typical spectra having a sharp peak and the 252Cf fission spectrum. The response errors can have a serious influence on the flux error, especially in the case of a sharply peaked spectrum.