AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Adaptive RAG uses signals such as confidence, relevance, support, and retrieval quality to decide when to search or correct evidence. In multi-step retrieval, however, these local signals must be combined into a persistent view of what the current evidence supports, what remains missing, and which action should follow....
C COUNTERMEM is introduced, a reinforcement-learning framework for constructing and using verified counterfactual memory across tasks, and it is shown that removing verification or persistent storage weakens the gains, while applying verified corrections to unsuitable decisions can reverse them.
The proposed VolRouter, a modular framework that formulates volatility control as state-conditioned routing over estimator-controller pairs, achieves the highest Sharpe ratio in three of four settings and suggests that volatility control can be viewed as a policy-selection problem when risk management requirements vary...
The AI-assisted CBCT analysis system demonstrated high diagnostic accuracy and excellent agreement with expert radiological assessment in predicting IAN proximity to impacted mandibular third molars, while substantially reducing processing time, support the potential of AI-driven automated CBCT analysis as a preoperati...
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