Machine learning in 3D printing

IP Security: Reverse Engineering to Test Vulnerability in 3D Printer Toolpaths

We hear a lot about engineering hardware and software and other accompanying technologies for 3D printing, so the idea of going in reverse may raise an eyebrow or two; however,…

Univ. of Southern California: Researchers Make 3D Printing Smarter for All Users

Researchers from the Daniel J. Epstein Department of Industrial and Systems Engineering, led by Qiang Huang, Ph.D., have recently been granted $1.4M funding support, including a recent $350,000 NSF grant. Assisted…

China: Applying Neural-Network Machine Learning to Additive Manufacturing Processes

In ‘Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives,’ authors Xinbo Qi, Guofeng Chen, Yong Li, Xuan Cheng, and Changpeng Li investigate how machine learning…