AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A neuro-symbolic program synthesis approach for batch-editing collision meshes is presented, which synthesizes a reusable program that captures the editing intent and applies it to non-demonstration meshes.
FibVLA is introduced, an efficient framework featuring temporal perception of long-context history and logarithmic hindsight sampling to both proprioceptive states and visual frames to capture long-term temporal dependencies with minimal redundancy.
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