AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Bio-MemArt, a biometric-aware KV-cache memory framework for multi-user LLM agents that preserves latent-space retrieval, direct cache reuse, and decoupled position encoding while adding physical-user access control to shared KV memory is proposed.
Bio-Memory is proposed, a biometric-aware memory architecture that conditions memory retrieval on both semantic similarity and biometric matching and augments each atomic memory note with a biometric embedding and uses biometric matching to form the retrieval candidate pool before semantic ranking.
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