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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AMCA Impact Study highlights AI’s role in improving HVAC safety compliance
A new AMCA Impact Study has highlighted the growing challenge of helping HVAC contractors access reliable safety and compliance information quickly, particularly for small and medium-sized businesses operating in Australia's highly regulated construction environment.
