Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

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

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

Self-correcting supply chains mark a shift from reactive analytics to proactive adaptation: AI that can detect disruption, ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company’s xLake ...

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...

Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Artificial intelligence is transforming the way we explore the Moon. In a recent SETI Live, authors Adam Lesnikowski and Daniel Angerhausen, hosted by Franck Marchis, a Senior Planetary Astronomer at ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

In the fast-evolving digital landscape, cybersecurity remains a top priority for businesses. As cyber threats become more sophisticated, leveraging Artificial ...