Abstract: With the advancements in smart manufacturing environments, the importance of anomaly detection methods that integrate and analyze heterogeneous multisensor data, e.g., partial discharge ...
Abstract: In hyperspectral anomaly detection (HAD), anomalous pixels typically exhibit a sparsely distributed spatial pattern. Existing deep models often generate backgrounds by reconstructing ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
Singapore’s ADA launches AVGT, an AI system it says cuts security guarding costs by up to 50% using existing CCTV ...
Mozilla is building cq - described by staff engineer Peter Wilson as "Stack Overflow for agents" - as an open source project ...
A machine learning system for detecting unusual market behaviour in daily equity price and volume data. The system identifies anomalous stock-days and market-wide stress periods using unsupervised ...
Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...