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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.
A. Pazy, G. Rakavy, I. Reiss, J. J. Wagschal, Atara Ya’ari, Y. Yeivin
Nuclear Science and Engineering | Volume 55 | Number 3 | November 1974 | Pages 280-295
Technical Paper | doi.org/10.13182/NSE55-280
Articles are hosted by Taylor and Francis Online.
The purpose of this article is an up-to-date, detailed, and rigorous presentation of the generalized least-squares procedure developed by our group to improve neutron cross-section evaluations, based on direct cross-section measurements by means of integral data. Both discrete and continuous (energy dependent) integral quantities are considered. Explicit expressions are derived for the best estimates of the cross sections in a continuous form, as well as in the multigroup approximation. The procedure is illustrated by results relating to the updated Los Alamos data on spherical metallic critical assemblies and the latest ENDF/B cross-section library. It is demonstrated that by minor modifications of the ENDF/B cross sections, most of the experimental data can be reproduced within their quoted uncertainties.