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

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

Printed circuit boards (PCBs) are the foundation of modern electronic devices and demand rigorous quality control to prevent failures caused by manufacturing defects. Contemporary inspection ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...

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 ...

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

– Proven supply record with global top-tier inspection system manufacturers – Optimized for high-speed inline semiconductor AXI and 3D X-ray CT platforms HWASEONG, South Korea, March 5, 2026 ...

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...

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 ...