在工业质检、安全监控等领域， 多类别无监督异常检测（Multi-class Unsupervised Anomaly Detection, MUAD） 一直是个极具挑战的课题。传统的做法通常是训练一个复杂的编码器-解码器模型，试图重建正常样本的特征。但你有没有想过，这种费时费力的“训练”过程，真的是必须的吗？

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

Audio deepfakes, by definition, are synthetic audio recordings generated using deep learning-based systems for either malicious, artistic, or entertainment ...

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...

Black Book outlines an AI-era integrity architecture for healthcare benchmarking, instrumentation hardening, tiered verification, real-time anomaly detection, and longitudinal observability, paired ...