AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents EgoPHI, the first method that jointly estimates dense contact maps and 3D force distributions on hand and object meshes from a single monocular RGB image and object geometry, and demonstrates that EgoPHI improves force estimation over existing approaches while generalizing to unseen datasets.
Aura, a framework that enables LLM systems to dynamically modulate output based on a user's evolving emotions, is introduced and indicates that real-time, context-sensitive interventions can improve learning efficiency and user satisfaction without observable degradation in factual accuracy.
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