NYU Tandon researchers use machine learning to expose vulnerability behind 3D printed composites 

Researchers from New York University’s Tandon School of Engineering have successfully used Machine Learning (ML) tools to reverse engineer glass and carbon fiber 3D printed components.  By applying ML tools to CT scans of a 3D printed part, the NYU team were effectively able to “steal” the printing toolpaths behind its structural strength, flexibility, and […]

from 3D Printing Industry https://bit.ly/2DmLobj

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