In addition to surface and subsurface defects, residual stress represents a concern. Over time, these stress points, ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

Modern advanced packaging processes and shrinking semiconductor device sizes mean that it is vital to consistently eliminate sub-20 nm defects and surface contaminants. To do this effectively, the ...

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 published in The Annals of Thoracic Surgery, the journal from The Society of Thoracic Surgeons, suggests that prenatal detection of congenital heart disease (CHD) has improved in recent ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...

Please provide your email address to receive an email when new articles are posted on . An AI software system improved ultrasound detection of fetal congenital heart defects compared with unaided ...