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 ...

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

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 ...

In a recent study, a research team from Chung-Ang University, Korea presents open research questions related to anomaly detection using deep learning and curates open-access time series datasets, an ...

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

COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

Azure Cognitive Services enters a new AI area Fortunately, the first new cognitive service to explore other aspects of machine learning entered beta recently: adding anomaly detection to the roster.