首页|Study Findings from Saarland University Advance Knowledge in Machine Learning (O verview: Machine Learning for Segmentation and Classification of Complex Steel M icrostructures)
Study Findings from Saarland University Advance Knowledge in Machine Learning (O verview: Machine Learning for Segmentation and Classification of Complex Steel M icrostructures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting from Saarbrucken, Germany, by NewsRx journalists, research stated, "The foundation of materials sc ience and engineering is the establishment of process-microstructure-property li nks, which in turn form the basis for materials and process development and opti mization." The news reporters obtained a quote from the research from Saarland University: "At the heart of this is the characterization and quantification of the material 's microstructure. To date, microstructure quantification has traditionally invo lved a human deciding what to measure and included labor-intensive manual evalua tion. Recent advancements in artificial intelligence (AI) and machine learning ( ML) offer exciting new approaches to microstructural quantification, especially classification and semantic segmentation. This promises many benefits, most nota bly objective, reproducible, and automated analysis, but also quantification of complex microstructures that has not been possible with prior approaches. This r eview provides an overview of ML applications for microstructure analysis, using complex steel microstructures as examples."
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