AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper proposes a boundary-constrained remote sensing change detection network based on vision foundation models (BCNet), which exhibits superior detection accuracy and edge detail preservation capabilities in complex regions.
HEMERA is presented, a heterogeneous memory-centric accelerator for efficient Mamba-2 inference that reformulates the matrix-form SSD computation into an algebraically equivalent streaming-recursive dataflow that avoids quadratic intermediate storage while preserving the original computation.
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