There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

Many education institutions have a troubling gap in AI security: AI systems affecting students, including minors, deployed ...

In our tests of five leading network intrusion-detection systems and the popular open source Snort, performance was spotty during baseline testing and degraded by as much as 50% on some products when ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...