AI Learns to Work Around Metal 3D Printing Defects
Paloma Duran
Researchers at POSTECH and the Korea Institute of Materials Science (KIMS) have developed an AI framework that predicts the mechanical strength of metal 3D printed components in seconds, even in the presence of internal defects.  Their work, published in Acta Materialia, offers a model designed not to eliminate flaws, but to work with them, a…