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 ...

“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 ...

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 ...

AI is having its moment, reshaping how developers work. While the best AI tools enable faster app development and anomaly detection, they also fuel faster, more sophisticated cyberattacks. The latest ...

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 ...

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.