A new AI framework that analyzes high-frequency welding signals can spot subtle process instabilities before defects form, paving the way for faster, more reliable, and cost-efficient additive ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...