A new wave of device code phishing shows how threat actors are scaling account compromise using AI and end‑to‑end automation.

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: Anomaly detection in system software traditionally relies on single-modal algorithms that analyze either discrete log events or continuous performance metrics in isolation, potentially ...

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 ...

Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...