Machine Learning Aids In Spotting Defects In 3d Printing

Researchers at the University of Illinois Urbana-Champaign have developed a deep learning method for detecting defects in additively manufactured components. This technology addresses a major challenge in additive manufacturing and has shown high accuracy in identifying defects in physical parts.