Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...

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 ...

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 ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...