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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.
R. J. Estep, T. H. Prettyman, G. A. Sheppard
Nuclear Science and Engineering | Volume 118 | Number 3 | November 1994 | Pages 145-152
Technical Paper | doi.org/10.13182/NSE94-A19380
Articles are hosted by Taylor and Francis Online.
Current methods for the nondestructive assay of special nuclear materials (SNM) and trans-uranic (TRU) waste in 208- drums can give assay errors of 100% or more when the drum matrix and/or radionuclide distribution is nonuniform. This problem is addressed by the development of the tomographic-gamma-scanner (TGS) method for assaying heterogeneous drummed SNM/TRU waste. The TGS method improves on the well-established segmented-gamma-scanner (SGS) method by performing low-resolution tomographic emission and transmission scans on the drum, yielding coarse three-dimensional images of the matrix density and radionuclide distributions. The images are used to make accurate, point-to-point attenuation corrections. The TGS geometric counting efficiency is 60% that of a typical SGS device, allowing a TGS assay time of only 28 min/drum with a one-detector system. The TGS method may also be useful for nondestructive examination. Currently, TGS is the only practical method of imaging SNM in drums.