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A novel teacher-aligned repair stage enables significant parameter reduction in diffusion models while preserving image quality, achieving an FID of 3.12 with just one network evaluation.
EAI mobile applications are not just user interfaces; they represent a fragile cryptographic trust boundary that can be exploited to hijack physical control of AI systems.
Privacy-preserving RAG is now practical: PRAG achieves competitive recall and low latency while fully encrypting both documents and queries.
Current identity management systems fail for AI agents, but AgentDID offers a scalable, decentralized solution that lets agents manage their own identities and prove their state at interaction time.
