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This paper details the study conducted by the Idaho National Laboratory for the Nuclear Regulatory Commission to investigate the latest computational methods and methods for running nuclear plants, including artificial intelligence and machine learning. Both supervised and unsupervised learning are described in the study, which outlines the correlations between statistics and AI/ML, which leads to the most commonly used AI/ML algorithms. The study, which was issued by the NRC in April 2021 as in Federal Register Notice NRC-2021-0048, details an NRC survey on the current state of commercial nuclear power operations relative to the use of AI and ML technologies, as well as the usage of AI and ML technologies in nuclear power experiments. Lastly, the paper explores potential uses of AI/ML in operating nuclear power plants and advanced reactors to improve nuclear plant safety and efficiency.
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