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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How a small pet food manufacturer supports a 5x increase in production capacity
For Advanced Pet Care of Australia, scaling into one of Australia’s top pet food manufacturers required more than new production capacity – it required better systems.
