Automated defect detection in non-destructive testing (NDT) systems has emerged as a transformative approach to inspect critical components without impairing their serviceability. By combining ...

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

Defect detection in photovoltaic (PV) systems is critical to maintaining energy-conversion efficiency, safety and longevity of solar installations. Common defects include micro-cracks, hot spots, ...

What if you could see inside a sealed package without opening it? An inspection system does that and finds hidden defects and ...

The system features intuitive software and an extensive component library to simplify programming, reducing engineer workload ...

SEMVision™ H20 enables better and faster analysis of nanoscale defects in leading-edge chips Second-generation “cold field emission” technology provides high-resolution imaging AI image recognition ...

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, ...

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...

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.

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