AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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WA-JEPA is presented, a V-JEPA-native world-action model designed for autonomous driving planning that employs hybrid future-masked pre-training and recast future prediction as conditional flow matching over latent futures, which substantially improves the model's ability to generate plausible future latents for downst...
Walking in the Implicit, a scene-centric paradigm that changes the rollout variable from frame latents to a fixed-length, renderable implicit state, termed Neural Implicit Scene (NIS), factorizes interactive generation into stochastic transition of a compact scene state and deterministic pose-conditioned rendering give...
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