Why automation resonates with IT teams Organizations are integrating AI into areas like performance monitoring, anomaly detection, capacity planning, and troubleshooting to support essential ...

This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...

Automation that actually understands your homelab.

A newly uncovered malware campaign is combining ClickFix delivery with AI generated evasion techniques to steal enterprise user accounts and passwords. The attacks are designed to provide intruders ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. Change point detection is a helpful tool that spots moments when data, such ...

Professional, modular analysis of historical stock prices using multiple anomaly detection methods (Z-Score, Isolation Forest, DBSCAN, Prophet, Rolling Quantile). Includes multi-ticker comparison, ...

Abstract: In real-world industrial activities, large industrial systems typically have complex network structures composed of multiple devices, where the operating status of devices is reflected by ...

Abstract: Hyperspectral anomaly detection presents persistent challenges due to the limitations of existing methodologies. Conventional methods based on signal processing typically employ fixed model ...

Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...