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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.
A. Itakura, T. Hirai, H. Hojo, J. Kohagura, Y. Shima, S. Tsunoda, M. Yoshikawa, K. Yatsu
Fusion Science and Technology | Volume 43 | Number 1 | January 2003 | Pages 243-247
Diagnostics | doi.org/10.13182/FST03-A11963603
Articles are hosted by Taylor and Francis Online.
An electron density profile is observed by using an ultrashort-pulse reflectometry in the central cell of the GAMMA 10 device. The pulse having 65 ps FWHM is launched into the plasma in the O-mode and reflected at the cut off layer. The frequency range of the receiving system is 6 to 11 GHz. Time of flight of the received signal is measured via a time to amplitude converter and processed by a computer. Here, electron density profile lower than 1.5 × 1018 m−3 is reconstructed within one-shot data. The time variation of the electron density profile is acquired. Reflected wave has information of fluctuation, simultaneously. Frequency spectrum of the fluctuation is also observed.
