AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A novel Diffusion-guided Sampling for Consensus-based Robust Estimation (DiffSAC) framework that refines the confidence for each data point, indicating whether it belongs to a good minimum set, rather than ranking the data points as in previous work, significantly reduces the need to process numerous bad sets.
Vision-language-action (VLA) and world-action models typically absorb unfamiliar manipulation tasks through additional robot data collection and policy optimization. This recurring retraining burden slows the acquisition of new behavior. We present Teach-and-Grow Learning (TGL), a training-free architecture that turns...
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