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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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Beyond insights: CRM’s transformative role in sustainable manufacturing

Manufacturing companies worldwide are increasingly gearing up for a significant transformation with environmental sustainability at the centre. This comes amid stronger environmental regulations, a shift in consumer behaviour, and the industrial sector delves deeper into Industry 4.0.