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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.
S. R. Bierman, K. L. Garlid, J. R. Clark
Nuclear Technology | Volume 2 | Number 6 | December 1966 | Pages 515-518
Technical Paper and Note | doi.org/10.13182/NT66-A27548
Articles are hosted by Taylor and Francis Online.
In making pulsed-neutron source measurements, counting rates of such magnitude are often encountered that the characteristics of the data-acquisition system must be properly identified before corrections for coincidence losses can be accurately made. To account properly for coincidence losses at very high counting rates, it is necessary to determine how closely a perfectly paralyzable or completely nonparalyzable system represents the real detection system used in the measurements. A maximum observed counting-rate technique is presented which, in conjunction with a double-pulse method, permits the system to be characterized relative to these two theoretically limiting models.