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？ 最近，来自湖南大学和英国格拉斯哥大学的研究团队在一篇论文中发出了灵魂拷问：Is Traini ...

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

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Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

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Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

The company celebrates six months since the launch of Haein, its GPU cluster designed to support large-scale AI workloads and foundation model development.

As organizations deploy AI agents to handle everything, a critical security vulnerability threatens to turn these digital ...