Artificial Intelligence
Machine Learning for Invention Will Aid and Be Aided By AM
Neural networks that learn by trial and error—learning, in fact, like a child—will map the constraints of AM systems, allowing part designs to be optimized for those systems.
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How Machine Learning Is Moving AM Beyond Trial and Error
A Colorado alliance has found the link between AM and AI. Using machine learning to map the formula for successful metal 3D printing, researchers aim to know the right parameters for any new part with few or no test builds.
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What GE’s Machine Learning Ecosystem Will Mean for Additive Manufacturing
At GE’s Global Research Center in upstate New York, engineers join forces to build a digital library of additive research.
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Video: 3 Roles for Computer Vision in Metal 3D Printing
Carnegie Mellon University professor Elizabeth Holm explains three ways computer vision can advance powder-bed metal 3D printing.
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With Machine Learning, We Will Skip Ahead 100 Years
Machine learning or AI will prove vital to the advance of AM. Computational power will enable additive to advance much faster than if it had been invented in an earlier time.
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Computer Vision System Automates Characterization of Metal Powder
A computer vision system that has learned to classify metal powders could speed material qualification and advance machine learning in additive manufacturing.
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