A team of researchers at KAIST has developed a new AI technology that maintains high defect detection accuracy—even when manufacturing conditions change—without requiring costly retraining. The ...

A team of researchers affiliated with UNIST has successfully integrated artificial intelligence (AI) technology into the manufacturing process of lithium-ion battery cathode precursors, reducing ...

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, ...

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 ...

Magnetic flux leakage (MFL) testing is a widely established non‐destructive evaluation technique used to assess the integrity of ferromagnetic materials in applications such as pipeline inspection and ...