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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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January 2026
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December 2025
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November 2025
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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.
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Tuesday, July 18, 2023|10:00–11:45AM EDT|301C
Session Chair:
Xingang Zhao
Alternate Chair:
Daniel G. Cole
Session Organizer:
Brent D. Shumaker
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Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems
10:00–10:25AM EDT
Xingang Zhao (ORNL), Bryan Maldonado Puente (ORNL), Siyan Liu (ORNL), Seung-Hwan Lim (ORNL), William Gurecky (ORNL), Dan Lu (ORNL), Matthew Howell (ORNL), Frank Liu (ORNL), Wesley Williams (ORNL), Pradeep Ramuhalli (ORNL)
Paper
Quantifying Uncertainty of Deep Reinforcement Learning Based Decision Making for Operations and Maintenance of Nuclear Power Plant
10:25–10:50AM EDT
Ryan M. Spangler (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Development of a Virtual Sensor for Leading Edge Flow Meter Measurements in Nuclear Power Plants
10:50–11:15AM EDT
Brent Shumaker (Analysis and Measurement Services Corp.), Christopher Guillotte (Analysis and Measurement Services Corp.), Brian Moazen (Analysis and Measurement Services Corp.), Zachary Becker (Analysis and Measurement Services Corp.), Jamie Coble (Univ. Tennessee, Knoxville)
Presented by Ryan O’Hagan (Analysis and Measurement Services Corp.)
Using Machine Learning to Extract and Normalize Historic Maintenance Data from Work Descriptions
11:15–11:40AM EDT
Nicholas Zwiryk (Westinghouse Electric Co.), Steven Yurkovich (Westinghouse Electric Co.)
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