Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

Metal additive manufacturing (AM) continues to evolve rapidly, driven by technological advancements and market opportunities. Artificial intelligence (AI) and machine learning are improving design ...

Tyler Bouchard and Tyler Modelski explore the fundamental changes needed to scale industrial artificial intelligence in additive manufacturing.

TEMPUS technology and RenAM 500 Ultra system enable faster, scalable metal additive manufacturing.

Sustainability metrics for additive manufacturing are evolving, with a focus on enterprise-wide impact rather than just part-to-part comparisons, emphasizing resource efficiency and environmental ROI.