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) ...

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 ...

Intel 14A process node is tracking better defect density reduction than any Intel node since 22nm, CFO David Zinsner said at ...

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 ...

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 ...

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 ...

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.

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 ...

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 ...

Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...