AI enables defect-aware prediction of metal 3D-printed part quality
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 13-May-2026 09:15 ET (13-May-2026 13:15 GMT/UTC)
A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS), in collaboration with Dr. Jaemin Wang and Prof. Dierk Raabe of the Max Planck Institute in Germany, has developed an artificial intelligence (AI)-based model capable of assessing the likelihood and characteristics of internal defects during process design. This research achievement is expected to significantly enhance the reliability of metal additive manufacturing parts and greatly expand their applicability for mass production in industrial settings.
Steven Weisberg, a researcher at The University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability in healthy young adults—challenging long-standing ideas about how the brain helps us find our way.