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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.
Dušan Babala
Nuclear Science and Engineering | Volume 28 | Number 2 | May 1967 | Pages 243-246
Technical Paper | doi.org/10.13182/NSE67-A17474
Articles are hosted by Taylor and Francis Online.
Formulas for interval distributions of neutron counts, which open possibilities for new methods of reactor noise measurements, are derived. The proposed experimental techniques promise to be less time consuming than the zero probability method of Mogilner and Zolotukhin. The useful information contained in a sequence of counts lies in its deviation from Poisson statistics. The magnitude of this deviation depends either on the counter efficiency or on the intensity of the external neutron source. From this point of view, the techniques of noise measurements can be divided into two groups: the “efficiency sensitive” methods (Feynman) and the “power sensitive” methods (Rossi-α). The proposed count-to-count interval distribution measurement seems to combine the advantages of both groups.