Universities New Machine Learning Tool Improves Additive Manufacturing

Using machine learning to ensure that the pieces of an aircraft fit together more precisely - thus cutting assembling and testing time - is one of the users behind new technology being developed by researchers at Purdue University and the University of Southern California.
We’re really taking a giant leap and working on the future of manufacturing, said Arman Sabbaghi, an assistant professor of statistics in Purdue’s College of Science, who led the research team at Purdue with support from the National Science Foundation. We have developed automated machine learning technology to help improve additive manufacturing. This kind of innovation is heading on the path to essentially allowing anyone to be a manufacturer.