Gain practical insights to enhance productivity, improve product performance, and maintain a competitive edge in the global ...

Armory Square Ventures leads Shelfmark’s seed round as the Pittsburgh Physical AI startup moves beyond real-time defect detection toward self-optimizing production ...

Analysis emphasizes repeatability, data completeness, and potential errors in measurement rather than nominal metric values ...

This review examines how microscopy and computational analysis can identify defects in self-assembled nanosphere structures ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

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 ...

Optical coherence tomography (OCT) can be used to non-destructively detect defects in seals in real time during the packaging process, with a resolution in the micrometer range. “Optical coherence ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Defect inspection scientists from Huazhong University of Science and Technology, Harbin Institute of Technology and The Chinese University of Hong Kong make a thorough review of new perspectives and ...