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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.
V. I. Vysotskii, V. D. Rusov, T. N. Zelentsova, M. V. Vysotskyy, V. P. Smolyar
Nuclear Technology | Volume 209 | Number 5 | May 2023 | Pages 716-729
Technical Paper | doi.org/10.1080/00295450.2022.2147389
Articles are hosted by Taylor and Francis Online.
This paper discusses the physical and mathematical foundations and possible applications of the intensity correlation method for spatial three-dimensional (3-D) positional detection (finding the 3-D spatial position) of distant γ-ray or neutrino sources in real time or after a set of registered events. This method is based on the correlation of intensities of event sequences measured by several spaced-apart distant detectors. A specific consideration is made of the possibility of using a correlation intensities method for the analysis of the processes within a nuclear reactor, for the search of the hypothetical intra-terrestrial georeactor (planetocentric nuclear fission reactors), for the optimization of the method of single-photon-emission-computed tomography in medicine, and for other applications. The conditions of successful applications of the intensity correlation method for these systems are determined. The main problem with this method is connected to a relatively low count rate of registered neutrino events.