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Researchers at Carnegie Mellon University have developed a system using ultra high-speed in-situ imaging and vision transformers to optimize process parameters for 3D printing metal parts. This system is generalizable and can be applied to various metal alloys, making it a cost-effective and efficient solution for additive manufacturing.