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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.
Raymond Gold
Nuclear Science and Engineering | Volume 20 | Number 4 | December 1964 | Pages 493-512
Technical Paper | doi.org/10.13182/NSE64-A20992
Articles are hosted by Taylor and Francis Online.
Activation measurements are utilized to determine approximate representations of neutron spectra in the form of orthonormal expansions. Two different methods, the Gram-Schmidt and least-squares expansions, are examined. The sensitivity of these methods to experimental error in the neutron cross sections is explored. The least-squares method proves generally superior to the Gram-Schmidt method in this application. The present computations imply that more accurate spectral information can be obtained from orthonormal expansions which employ fewer cross sections of high precision as opposed to many cross sections of moderate precision.