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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.
Thomas E. Booth
Nuclear Science and Engineering | Volume 156 | Number 3 | July 2007 | Pages 403-407
Technical Paper | doi.org/10.13182/NSE07-A2707
Articles are hosted by Taylor and Francis Online.
A method to provide an unbiased Monte Carlo estimate of the reciprocal of an integral is described. In Monte Carlo transport calculations, one often uses a single sample as an estimate of an integral. This paper shows that a similar situation exists with respect to a single sample for an unbiased estimate of the reciprocal of an integral. If an appropriate approximation to the integrand is known, then obtaining a single unbiased estimate of the reciprocal of an integral will not be much more time consuming than obtaining a single unbiased estimate of the integral itself.