As colleges and students embrace virtual classes, the ease of A.I. cheating is raising questions about the value of an online degree.
A security researcher has designed an algorithm that can create computer-generated patterns capable of hiding people, faces, ...
Tools that promise to detect AI writing can be dubious, but educators and publishers are using them anyway.
Generative artificial intelligence is fueling a surge in ghost student fraud. Learn how layered identity verification, ...
Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...
Abstract: Weakly supervised anomaly detection methods (WADMs) can effectively utilize incomplete label data to address the issue of imbalanced samples, thereby reducing the reliance on the quantity of ...
Abstract: Weakly Supervised Video Anomaly Detection (VAD) aims to identify anomalous events using only video-level labels. However, the coarse-grained nature of these labels causes normal segments ...
MPFM replaces the traditional "unimodal Gaussian prototypes" in OSAD with a learnable Gaussian Mixture Model (GMM) prototype space. It uses flow matching to directly regress a velocity field in GMM ...
Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.
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