Artificial intelligence holds great promise as a tool for boosting quality in the welding department of metal fabricating ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

Researchers have developed a physics-based technique that accurately measures atomic-scale semiconductor defects, helping ...

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 ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

The team developed an off-axis bright- and dark-field OCT system with a custom-designed high-precision objective lens. By ...

Ekoten Tekstil, a weft knit fabric manufacturer based near İzmir in Turkey, has implemented an artificial intelligence-driven ...