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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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From ship repair to autonomous underwater vehicles: Griffin Industrial’s next chapter with growth capital

Some of Australia’s most critical manufacturing happens where almost no one sees it: inside a fuel tank on a Navy tanker, in a machine shop south of Perth, on a workshop floor in western Sydney where a team is helping build autonomous underwater vehicles. Griffin Industrial does all three.