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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Don’t get left behind: Manufacturing’s urgent need for digital transformation
As digital transformation reshapes industries worldwide, manufacturers in Australia and beyond are finding themselves at the forefront of an evolution. This shift presents opportunities for companies looking to improve efficiency, drive innovation, and boost growth.
