Researchers Use Machine Learning To Detect Defects In Additive Manufacturing

Researchers at the University of Illinois Urbana-Champaign have developed a new method for detecting defects in additively manufactured components using deep machine learning. This technology addresses one of the toughest challenges in additive manufacturing and has shown high accuracy in identifying defects.