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 ...
Learn how oil and gas manufacturers can boost efficiency by 25% while maintaining product integrity through Six Sigma, TPM ...
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, ...
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Uncovering hidden losses in solar cells: New analysis method reveals the nature of defects
A joint research team has successfully identified, for the first time, the specific types of defects responsible for efficiency loss in silicon heterojunction (SHJ) solar cells. Subscribe to our ...
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