Defect detection automated in diamond, other advanced semiconductors

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...
The Daily Caller on MSN

Ford discovers humans can’t be replaced after all

Ford rehired roughly 350 veteran engineers to reprogram and retrain artificial intelligence tools used for quality control ...
Phys.org

Deep learning automates defect detection in 2D materials

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 ...
Fabbaloo

Deep Learning Spots 3D Print Defects In Process

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

Hunting For Macro Defects

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 ...

Ford leaps ahead on JD Power's quality survey thanks to veteran engineers

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

Identifying PCB Defects with a Deep Learning Single-Step Detection Model

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 ...