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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Smarter energy decisions: GridBeyond unveils AI-powered Bid Optimiser in Australia
As Australia’s energy transition accelerates, businesses participating in the National Electricity Market (NEM) are facing growing challenges in managing their energy assets efficiently.
