The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

Advanced modeling has revealed an Australia-shaped magnetic anomaly beneath the country's Northern Territory that holds valuable information about Australia's geological history. When you purchase ...

Abstract: In recent years, tensor decomposition-based approaches for hyperspectral anomaly detection (HAD) have gained significant attention in the field of remote sensing. However, existing methods ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

A rare interstellar visitor has ignited scientific curiosity and political debate as it speeds through our solar system. On October 31, 2025, U.S. Representative Anna Paulina Luna formally requested ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Armed police handcuffed and searched a student at a high school in Baltimore County, Maryland, this week after an AI-driven security system flagged the teen’s empty bag of chips as a possible firearm.

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...