Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

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 ...

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 ...

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

After reporting the anomaly to the cURL team, they agreed with ControlFlag's findings and redesigned their code to patch the issue. SEE: Open source matters, and it's about more than just free ...