Enterprises can increase their protection by embedding security directly into applications at the build stage: this involves ...

Anomaly detection algorithms are leading the charge to take organizations away from the limitations of manually monitoring datasets. In its place is a wave of solutions that can not only make use of ...

Currently, there are have no specific regulations tailored to AI-powered business tools. An anomaly detection solution will navigate through, process and store information on detected anomalies.

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 ...

“Anomaly detection plays an important part in early assessment of possible threats targeting the computer-based systems at nuclear and radiological facilities,” said Scott Purvis, Head of the ...

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 ...