Develop Staff Guidance for AI-ML Derived Fluence Fit Functions

The contract focuses on exploring the use of artificial intelligence and machine learning techniques to analyze existing data related to material embrittlement, aiming to enhance future coupon sampling and analysis processes. Specifically, the project involves developing staff guidance for AI-ML derived fluence fit functions, which are critical for improving the accuracy and efficiency of material condition assessments in nuclear regulatory contexts. The effort is being solicited by the Nuclear Regulatory Commission and is classified under the NAICS code 541990. The work will be conducted primarily in Washington, and there is an emphasis on involving small businesses, as indicated by the designated points of contact for small business programs. While the type of set-aside has yet to be determined, this forecast opportunity represents a forward-looking initiative to integrate advanced data analytics into regulatory practices surrounding the safety and integrity of nuclear materials. Interested parties can find further details through the provided acquisition gateway link.