(University of Southern California) 3-D printing is often touted as the future of manufacturing. However it has a high degree of error, and manufacturers often need many iterations of a print before they get it right. A team of researchers from USC Viterbi School of Engineering is tackling this problem, with a new set of machine learning algorithms and a software tool called PrintFixer, improving print accuracy by 50 percent or more, making the process more economical and sustainable.
Original source: https://www.eurekalert.org/pub_releases/2020-02/uosc-m3p021120.php