AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 8 papers
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.
M2Heat is introduced, a physics-inspired framework that investigates multimodal fusion through the lens of heat conduction and indicates the potential of heat-conduction-guided neural operators for efficient and interpretable RS multimodal fusion.
The Granularity-Aware Region Alignment and Semantic Prototype (GRASP) learning framework is proposed, enhancing discriminative capability through two synergistic strategies, and Semantic Perturbation Enhanced Matching (SPEM), which leverages a foreground-purified Semantic Prototype Codebook to construct semantically pe...
Embodied intelligence is shifting artificial intelligence from passive digital perception toward active physical interaction. However, foundation-model-enabled embodied agents face a fundamental tension between open-world cognition and resource-constrained deployment. On-device models are limited by computation, memory...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.