AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DuplexCadence is proposed, which explicitly declares native clocks to the runtime and derives two mutually enabling rules: demand-sized state allocation at a stable address, and exact-shape graph replay without padding, which eliminates idle memory and stabilizes tensor pointers.
G-SalAlignMamba is proposed, a geometry-aware framework tailored for dual-modal SOD that introduces Geometry-Aware Encoding with explicit alignment to correct spatial shifts, Semantics-Informed Refinement to prevent signal dilution by prioritizing foregrounds, and Structure-Preserving Decoding that integrates explicit...
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