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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.
H. W. Lewis
Nuclear Science and Engineering | Volume 91 | Number 2 | October 1985 | Pages 220-222
Technical Note | doi.org/10.13182/NSE85-A27443
Articles are hosted by Taylor and Francis Online.
In the performance of probabilistic risk assessments, in which there are inevitably large uncertainties, it is customary to characterize the computed probabilities in terms of their medians. When this is done, it is incorrect to add the probabilities of different accident sequences to find an overall probability of some consequence (like core melt), or to add the risks of the members of a population of reactors to find the societal risk. The error is not only one in principle, but is substantial when the uncertainties are large. In addition, the uncertainties are reduced when the probabilities are combined properly. Some examples are given.