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Shared Data Improves 3D Printing Quality

Hui Wang of FSU is improving the quality of 3D printing by teaching machines to learn from one another. Interconnected 3D printers proved that transfer learning allows multiple printers to collectively outperform a single one, a competitive advantage for increasing 3D printing demand.

“The technology demonstrates that data generated from multiple production machines can be shared with each in a timely manner, and manufacturing can be enclosed as online services for meeting diverse market demands,” said Wang.

 

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