In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise ...

Quality control (QC) is a critical component of industrial processes that ensures product reliability, quality, and safety. Anomaly detection (AD ...

DELRAY BEACH, Fla., April 30, 2025 /PRNewswire/ -- The Operational Technology Security Market is projected to grow from USD ...

AI could be used to screen candidates’ job applications. But that is an obvious opportunity for bias to enter the equation ...

In an advance in microsensor technology, researchers have unveiled an ultra-sensitive gas detection method using surface ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

The company said traditional anomaly detection tools identify one-dimensional errors such as a misplaced zero in a sales ...

Agentic Data Management Use Cases Enabled by Adaptive AI Anomaly Detection: ...

Learn how thermal imaging helps detect hidden equipment faults before they lead to costly failures in industrial settings.

Abstract: In industrial scenarios, existing deep generative methods face the challenge of adapting to new domains with limited data for anomaly detection. Flow-based generative models are efficient ...

To overcome these difficulties, this study proposes TranConvAD, a global and local feature extraction method for log anomaly detection. The method extracts multidimensional features of logs from three ...