AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Across seven representative adapted baselines, Grounding2Route substantially outperforms existing methods in all metrics, and a substantial gap to human demonstrations remains, highlighting the difficulty of Map2Route and the considerable headroom for future progress.
Emerging World-Action Models (WAMs) have demonstrated promising performance in autonomous driving by jointly modeling future driving scene evolution and trajectory planning. However, existing WAMs are typically trained with video data, which is only 2D projections of the underlying 4D driving scene. Consequently, WAMs...
End-to-end driving requires a coherent understanding of future scenes, yet existing methods model these scenes using task-specific heads and output formats, with limited scalability. Can video generation instead provide a shared predictor? We introduce SUV, a unified end-to-end driving framework that casts future Scene...
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