
Machine learning and software cut waste from 3D printing
Machine learning algorithms and PrintFixer software are helping to improve the accuracy of 3D printing, claim researchers from USC Viterbi School of Engineering in California. The process, which predicts shape deviations for all types of 3D printing, has been dubbed ‘convolution modelling of 3D printing’ and is described in IEEE Transactions on Automation Science and Engineering. […]
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