LLNL Machine Learning Detects 3D Printer Failures With 10ms of Video

Researchers at Lawrence Livermore National Laboratory have used an algorithm to monitor 3D printing frame by frame that can detect errors in parts as they are printed. The technique improves 3D printing to 93% accuracy.

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