This research space focuses on leveraging extensive traffic data to develop “Zero Touch” networking for the growing number of devices in society. It aims to study AI models for dynamic resource allocation, emphasizing responsiveness to changes in services, application requirements, and user-generated traffic. The research space also investigates Cyber-Physical systems emulating biological brain mechanisms for self-control in scenarios like industrial settings. The focus is on decentralized computation paradigms using networking technologies (e.g., IoT and edge devices) to make AI pervasive, moving intelligence from centralized data centers to users’ devices. The goal is to foster advanced services based on human-centric AI.