A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...

Experts in various fields responded in force during the public comment period on a Trump administration report that calls the ...

In the past year, Retrieval-Augmented Generation (RAG) has almost become the "standard answer" for deploying large models, ...

CBSE Class 12 Maths Half Yearly Sample Paper 2025 with Solution, get here the complete set of questions and free PDF to download ...

This paper reports a valuable discovery that specific-mode electroacupuncture (EA) transiently opens the blood-brain barrier (BBB) in rats. The evidence is solid but lacks functional validation of BBB ...

Here, we define a requirement for neural activity in mobilizing the antioxidant defenses of the nematode Caenorhabditis elegans both during chronic oxidative stress and prior to its onset. We show ...

Recent embodied carbon regulations mean designers must urgently translate these rules’ implications for building owners and ...

To address the aforementioned challenges, this paper introduces L2G-Log, a graph-based unsupervised method for log anomaly detection. The method begins by constructing logs into directed, attributed, ...