Network Intelligence Center (NICE) focus on Networking and AI research, especially networked and distributed AI research. We conduct both theoretical investigation and algorithmic implementation with four perspectives: theory, algorithm, system and application. Our current research field is the co-design of next generation AI systems with the integration of computing, communication, control and cache.
E-AGI with Networked IEEE(IE3) , where E represents Edge, Embedded and Embodied; AGI represents Artificial General Intelligence; IEEE(IE3) represents Integration of Edge & Embedded & Embodied intelligence. Our research from now will be the interactive intelligence enabled by distributed multi-agent networks. In theory aspect, we will focus on four core areas: reinforcement learning, federated learning, transfer learning and continual learning; In application aspect, we will focus on the edge LLM, edge multi-modal system, integration of communication-sensing-computing-control-action, intelligent robot groups, wireless sensing, satellite Internet and other emerging AI systems.
This research filed includes interactive AI, edge intelligence, embedded intelligence and embodied intelligence.
This research filed includes wireless sensing, AIoT, autonomous driving, intelligent satellite network system, and space-air-ground intelligent network system.
This research filed includes (deep)reinforcement learning, federated learning, transfer learning, continual learning, game theory under incomplete information, and decision intelligence with uncertainty.
This research field includes edge LLM(Large Language Model), edge multi-modal system, edge embodied intelligence, computing power networks and multi-agent networks.
Network Intelligence Center, ShanghaiTech University
393 Middle Huaxia Road, Pudong, Shanghai, China, 201210
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