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Study Explores Machine Learning for Defect Detection in Additive Manufacturing

Nov 19, 2024 A study by researchers from the University of Connecticut and the University of California, Irvine, explores the integration of Machine Learning models with in-situ sensing technologies to improve defect detection in Additive Manufacturing while addressing data privacy concerns.