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 ...

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 ...

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 ...

Taiwan-based manufacturer of AI fabric inspection machines shows end-to-end fabric defect detection and data integration from inspection through spreading to cutting NEW TAIPEI CITY, April 30, 2026 ...

The Department of Science and Technology (DOST) has unveiled new equipment capable of analyzing materials and detecting ...

A new wafer inspection platform combines AI analytics, sub-micron imaging, SWIR sensing, and precision metrology to help ...

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...

Within the context of semiconductor inspection and failure analysis, latent defects present a significant challenge because they make it difficult to determine whether a fault originated during ...

As the technology improves, cybersecurity concerns multiply and the need for sophisticated data integration ramps up.