Hardware-Agnostic Algorithm Corrects 3D Printing Errors | Re

A machine learning algorithm developed by researchers at the University of Cambridge quickly detects and corrects 3D printing errors — even in p

Related Keywords

Cambridge , Cambridgeshire , United Kingdom , Douglas Brion , Sebastian Pattinson , Royal Society , Nature Communications , Academy Of Medical Sciences , University Of Cambridge Department Engineering , Sciences Research Council , University Of Cambridge , Courtesy Of Douglas Brion University Cambridge , Isaac Newton , Department Of Engineering , Cambridge Enterprise , Physical Sciences Research Council , Medical Sciences , Research Amp Technology , Lasers , Additive Manufacturing , Defect Detection , Inspection , Machine Vision , Automation , Quality Control , Error Correction , Algorithm ,