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

Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

Arauco will install Raute's Visual Analyzer R7 systems with artificial intelligence to modernize panel repair operations at two mills in Chile, according to the technology supplier Raute. The ...

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.

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 ...

Learn how to evaluate AI code quality platforms using enterprise criteria including scalability, predictive insights, and business impact.

Spread the love“`html In any product-driven industry, dealing with product defects is a given. No matter how stringent the quality checks or how dedicated the design team, issues can arise during ...