Beijing: Researchers Improving 3D Printing with Artificial Intelligence

Researchers from Tsinghua University are investigating artificial intelligence and all that surrounds it, from materials to workflow, performance, and all the elements of intelligent construction. Their experiments are outlined in…

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…

Deep Learning Used to Predict Stress in SLA 3D Printed Structures

In a thesis entitled “Deep Learning Based Stress Prediction for Bottom-Up Stereo-lithography (SLA) 3D Printing Process,” a University at Buffalo student named Aditya Pramod Khadlikar describes a method of predicting…

Russian Researchers Develop Neural Network for Metal 3D Printing

3D printing is not a simple process, particularly metal 3D printing. It involves a great deal of complex mathematical modeling, with calculations that can take weeks for even the most…

Moog and University at Buffalo Developing Artificial Intelligence for Image Recognition in Metal 3D Printing

3D printing is used increasingly in projects that require some type of recognition – for instance, CENIT’s 3D software tool can analyze a topologically optimized component and allocate it to the…

MESO-BRAIN Initiative to Use 3D Printing to Emulate the Human Neural Network

We all know just how critical a healthy and functional human brain is to our well-being and livelihood. An essential organ packed with soft nervous tissues, its nature is both…


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