The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, researchers provide a comprehensive review of deep learning-based ...

The increasing accuracy of deep neural networks for solving problems such as speech and image recognition has stoked attention and research devoted to deep learning and AI more generally.

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...

SMU Assistant Professor Pang Guansong’s research to improve artificial intelligence used in aircraft surface inspections aims to make the skies even safer while reducing aircraft maintenance costs.

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions.

Machine learning can prove ideal for anomaly detection throughout the company network. Here are three key scenarios where this can be put to good use “Prevention is the daughter of intelligence,” said ...

Artificial intelligence tackles the deepfake problem through deep learning that takes anomaly detection to an entirely new level.