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Argonne researchers develop AI approach to detect flaws of 3D-printed parts

A research team led by the US Department of Energy’s (DOE) Argonne National Laboratory and the University of Virginia (UVA) has developed various imaging and machine-learning techniques to detect and predict the formation of pores in 3D-printed metals in real time with near-perfect accuracy.
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Automotive canopy and tray manufacturer manages 6,000 SKUs with self-implemented ERP

Australian automotive accessories manufacturer Trig Point self-implemented an ERP system in just three months and gained control over its unwieldy component inventory, product customizations, and production processes. “We wouldn’t be able to manage that without a system like this,” says Chris Wasylkiw, Production Engineer.