Few ideas in modern manufacturing are as deceptively simple, and as stubbornly difficult, as teaching a machine to recognize when something looks wrong. A production line may turn out thousands of ...

This article is the second in a series from PDF Solutions on why adopting big data platforms will transform the compound semiconductor industry. The first part “Accelerating silicon carbide (SiC) ...

CEC professors aim to better identify defects in aerospace, automotive and military manufacturing. The advanced adhesion-driven composite manufacturing process, such as automated tow placement (ATP), ...

Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...

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 ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...

Intel's next-generation 14A manufacturing process is reducing chip defects faster than any node the company has developed since its highly regarded 22-nanometer technology from the early 2010s, Chief ...

Insights for manufacturers on the benefits of AI vision inspection from Norfolk Southern. Using this technology, the rail company identified more than twenty-five thousand defects, including ...

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.

Quality Cost Management (QCM) in manufacturing systems encompasses the systematic identification, measurement and control of all costs related to ensuring product and process quality. Through the ...