AI model accelerates defect-based material design

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
IEEE

Detectability Driven Recommendation of Anomaly Detection Models for Time-Series Data

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...
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Drinking deep from the Monty Python absurdities of college football

Last night marked the third year in a row the SEC has been shut out of the National Championship Game. Ole Miss lost 31-27 to Mario Cristobal and Miami in the Fiesta Bowl, kicking college football's ...
GitHub

SOC Log Anomaly Detection using Deep Learning

Security Operation Centers (SOC) continuously monitor system logs to detect suspicious activities such as brute-force attacks, unauthorized access, or privilege abuse. However, the large volume and ...
IEEE

Advances in Deep Learning for Video Anomaly Detection: A Comprehensive Review

Abstract: Video-based anomaly detection plays a crucial role in applications like surveillance, healthcare, and autonomous systems. Deep learning techniques, such as Convolutional Neural Networks ...