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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Future-ready manufacturing: How AI and cloud ERP are transforming supply chains
As manufacturers face growing supply chain disruption, rising costs and increasing operational complexity, artificial intelligence (AI), cloud ERP and connected digital systems are becoming essential tools for improving visibility, resilience and decision-making.
