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

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 ...

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, ...

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 ...

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 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, ...

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

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 ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

Figure 1. Enertis Applus+ technicians performing terrestrial nighttime EL inspection on a PV plant (left), while an aerial night-time EL inspection is being conducted using a drone (right). Image: ...