Semiconductor wafers constitute a critical substrate material for modern information-technology products, and surface defects can directly compromise chip yield and device reliability. In practical ...

Uncover the latest and most impactful research in Aerial Imaging Techniques for Power Line Insulator Detection. Explore pioneering discoveries, insightful ideas and new methods from leading ...

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 ...

Veryon, the leading provider of aviation maintenance software and data intelligence solutions, today announced the next generation of its Defect Analysis platform, now expanded to incorporate aircraft ...

AI's ability to analyze data at lightning speed is proving especially useful in vision systems used to detect part defects in real time in plastics manufacturing. Traditional vision systems have ...

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 ...

Discover how RayVector Technologies is transforming semiconductor manufacturing with innovative AI-powered technology for ...

Manufacturing, a key component of global economies, is a complicated process that calls for precise quality control and intricate machinery. Product defect detection has traditionally been a ...

Focused AI solutions yield better returns in supply chain than broad, ambitious but unproven AI solutions. SKF has used a focused solution to improve product quality.

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 ...

Key points of this article This is research that uses not only good products but also a small number of defect samples as ...