Risk-Informed Approach to Evaluate Engineering Applications of Machine Learning

THE U.S. NUCLEAR REGULATORY COMMISSION (NRC) is issuing this Sources Sought Synopsis as a means of conducting market research or as a market survey to determine the availability of potential qualified vendors with the technical capability to provide all management, supervision, administration, and labor for the Risk-informed Approach to Evaluate Engineering Applications of Machine Learning. Specific activities include:

(1) technical assistance support to develop a Technical Letter Report (TLR) to provide guidance and insights on a risk-informed framework for regulatory acceptance of data-driven and Machine learning (ML) enabled applications for condition and performance monitoring of mechanical systems and components, (2) technical assistance on performance evaluation and monitoring of data-driven and ML-enabled applications, (3) technical assistance on the development of case studies to test and evaluate a risk-informed framework for the acceptance of data-driven and ML-enable applications.

Services are to be provided to the NRC in Rockville, Maryland. The applicable North American Industry Classification System (NAICS) code assigned to this procurement is 541690, Other Scientific and Technical Consulting Services. See attachment for additional information.