The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...

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 ...

Abstract: Aquatic ecosystems play a crucial role in maintaining the balance of the ecological system and human health. However, they are threatened by a large range of defects and contamination ...

Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...

Upload and analyze product images in a Jupyter notebook Detect visual defects using Amazon Nova Pro Automatically return bounding boxes, failure reasons, and QC status Visualize defect overlays on ...

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 ...