Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

The system features intuitive software and an extensive component library to simplify programming, reducing engineer workload ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Ford tackles record recalls by pairing veteran engineers with defect-detection AI, driving a big JD Power quality jump.