Tag: Kamel Fezzaa
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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Unlocking growth: Charting midsize manufacturers’ path with digital solutions
According to a recent study by Oxford Economics, midsized companies in the industrial manufacturing sector are setting their eyes on ambitious growth targets. The research, authored in partnership with SAP, revealed that 38% of industry leaders have identified market expansion as their top priority.
