Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Researchers review the recent advances of deep learning-basedimage anomaly detection since the rapid development ofdeep learning can bring the capabilities of image anomaly detection into the factory ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

Automated Visual Inspection (AVI) is no longer a futuristic concept; it's a rapidly maturing technology that has already become a high-speed, reliable "gatekeeper" for quality in ...

LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...