Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

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

Hancock Iron Ore is transforming rail safety and maintenance with its AI-powered TrackDefectX defect-detection system.

Opportunities in the Surface Vision and Inspection Market include the rise of AI and deep learning for enhanced defect ...

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 ...

A technical paper titled “Detection of defective chips from nanostructures with a high-aspect ratio using hyperspectral imaging and deep learning” was published by researchers at Samsung Electronics.