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Algorithm for the Win

Researchers Detect Defects in Metal 3D Printed Parts Using Neural Networks

Picture ofHanna Watkin
by Hanna Watkin
Published Sep 21, 2018

Researchers from Lawrence Livermore National Laboratory have developed a means to detect in real time whether a metal 3D printed part will be of good quality. Using machine learning algorithms (called convolutional neural networks) and a live video feed the team can spot defects in a piece as it's printing.

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