Tag: UVA
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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Australian manufacturing in 2025: Challenges and pathways to progress
The Australian manufacturing sector, long considered the backbone of the nation’s economy, is standing at a crossroads in 2025.
