AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities. However, enabling multimodal agents to continually acquire useful information from complex, heterogeneous multimodal data remains a signif...
This work connects established resilience and technostress research with direct AI-in-the-loop experiments and defines resilience as the capacity to absorb disruption while preserving effective action and human agency around core purposes.
FairCompressAgent (FCA) is proposed, an agentic framework that integrates fairness-aware pruning, incremental quantization, and sparse low-rank factorization through a common operator interface and demonstrates how measured feedback and explicit constraints support the selection and interactive refinement of fairness-a...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.