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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Xometry CEO Sanjeev Singh Sahni on how AI and digital networks are reshaping manufacturing supply chains
Australian manufacturers have long competed against distance. In an exclusive interview with Australian Manufacturing, Xometry CEO Sanjeev Singh Sahni discusses how AI can help manufacturers access more production capacity and simplify traditionally email-driven supply chains.
