AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This survey adopts the primary input--output pair as its organizing lens: for each agent system, it analyze its primary, supporting, and intermediate handoff objects and classify it according to the provenance of its primary input and the consumer boundary of its primary output.
The proposed IssueExec bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis, which bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis.
This work presents a trust-boundary-centric survey of foundation-model-powered embodied-agent security, and shows that attack research is concentrated on multimodal perception and action interfaces, while defenses are especially concentrated on action-level and runtime protection.
SynAct is presented, an adaptive closed-loop LLM reasoning--acting agent that iteratively diagnoses live synthesis reports and reasons over the current circuit state, retrieved tool knowledge, and historical optimization experience to issue targeted commands to improve timing.
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