-
, from data processing to model deployment. Machine learning builds the “thinking engine” of AI, while Explainable AI (XAI) clarifies AI decisions in human-understandable terms. Ensuring the fairness
-
that support large-scale AI model training and inference (Network for AI), networks optimized by AI (AI for Network), and the realization of AI-native network architectures. AI and communication technologies
Searches related to model checking
Enter an email to receive alerts for model-checking positions