NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the confidentiality of each organization’s data. This research is published in Tetsu-to-Hagané.
Machine learning model predicts heat-resistant steel durability while preserving data confidentiality
