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 ...

This article introduces neural networks, including brief descriptions of feed-forward neural networks and recurrent neural networks, and describes how to build a recurrent neural network that detects ...

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 ...

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 ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Video anomaly detection is a research hotspot in the field of computer vision, attracting many researchers.Video anomaly detection differs from traditional video analysis. Usually, abnormal events ...