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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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Delivering growth: how invoice finance transformed a logistics business

For a smaller freight-forwarding company to compete with international behemoths, Global Trade Logistics founder Gary Coutsoudis knows he and his team must outperform.