首页|New Machine Learning Research Reported from Los Alamos National Laboratory (Deep learning with mixup augmentation for improved pore detection during additive ma nufacturing)
New Machine Learning Research Reported from Los Alamos National Laboratory (Deep learning with mixup augmentation for improved pore detection during additive ma nufacturing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of the Los Alamos Nation al Laboratory by NewsRx editors, research stated, “In additive manufacturing (AM ), process defects such as keyhole pores are difficult to anticipate, affecting the quality and integrity of the AM-produced materials. Hence, considerable effo rts have aimed to predict these process defects by training machine learning (ML ) models using passive measurements such as acoustic emissions.” Financial supporters for this research include Lanl Ldrd; Office of Science; Ems l, Pnnl; Nsf; Llnl.
Los Alamos National LaboratoryCyborgsEmerging TechnologiesMachine Learning
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