WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...
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 ...
Chipmakers worldwide consider Automatic Test Pattern Generation (ATPG) their go-to method for achieving high test coverage in production. ATPG generates test patterns designed to detect faults in 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 ...
Yeşim Group received the Innovation award in the 2025 Just Style Excellence Awards for its integration of automated, artificial intelligence (AI)-powered inspection technology in circular knitting, ...
A joint research team led by Dr. Hee-Eun Song of the Photovoltaics Research Department at the Korea Institute of Energy Research (President Yi Chang-Keun, hereafter “KIER”) and Prof. Ka-Hyun Kim of ...
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