Reverse engineering of 3-D-printed parts by machine learning reveals security vulnerabilities

Over the past 30 years, the use of glass and carbon-fiber reinforced composites in aerospace and other high-performance applications has soared along with the broad industrial adoption of composite materials.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3gjsnVn
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