AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Pipeline Delay Search method which selects each layer's delay by balancing task-level accuracy gains against added network latency, and shows that SNNs can compute more yet finish faster, and wait longer yet predict worse, highlighting why Falcon matters for both latency and accuracy.
An energy-efficient framework for muscle fatigue detection based on Spiking Neural Networks (SNNs), which exploit sparse, event-driven computation and temporal modeling is proposed and a quantization-compatible training scheme (SDH) is introduced that combines multiple regularization terms to improve robustness under n...
Lapis is proposed, a spiking attention mechanism that scores each token pair by the L1 distance between its query and key first-spike latency vectors under time-to-first-spike coding, and maps this distance to an affinity through a Laplacian kernel.
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