Machine learning for smarter 3D printing

Written by Georgi Makin

A team from the University of Southern California (CA, USA) has announced success in the development of an AI-driven, 3D printing software following 6 years of research. It is widely accepted that while some 3D printing techniques can offer rapid and highly effective artefacts, a high degree of error still remains. Each printer is different, filaments or materials used can behave in unexpected ways and in some cases, manufacturers are required to run several iterations before producing a version of acceptable quality. A team of researchers from the University of Southern California Viterbi School of Engineering (CA, USA) has been...

To view this content, please register now for access

It's completely free