【通院大讲堂】Toward Edge General Intelligence with Agentic AI and Agentification

发布者:太阳集团tyc151cc发布时间:2026-01-05浏览次数:10

报告题目:Toward Edge GeneralIntelligence with Agentic AI and Agentification

报告人: Dusit Niyato

报告时间:2026年1月9日(周五)16:30

报告地点:太阳集团tyc151cc科研楼208会议室



报告摘要:

 The rapid expansion of sixth-generation (6G)wireless networks and the Internet of Things (IoT) has catalyzed the evolutionfrom centralized cloud intelligence towards decentralized edge generalintelligence. However, traditional edge intelligence methods, characterized bystatic models and limited cognitive autonomy, fail to address the dynamic,heterogeneous, and resource-constrained scenarios inherent to emerging edgenetworks. Agentic artificial intelligence (Agentic AI) emerges as atransformative solution, enabling edge systems to autonomously perceivemultimodal environments, reason contextually, and adapt proactively throughcontinuous perception-reasoning-action loops. In this context, theagentification of edge intelligence serves as a key paradigm shift, wheredistributed entities evolve into autonomous agents capable of collaboration andcontinual adaptation. This paper presents a comprehensive survey dedicated toAgentic AI and agentification frameworks tailored explicitly for edge generalintelligence. First, we systematically introduce foundational concepts andclarify distinctions from traditional edge intelligence paradigms. Second, weanalyze important enabling technologies, including compact model compression,energy-aware computing strategies, robust connectivity frameworks, and advancedknowledge representation and reasoning mechanisms. Third, we providerepresentative case studies demonstrating Agentic AI's capabilities inlow-altitude economy networks and intent-driven networking. Furthermore, weidentify current research challenges.

 

报告人简介:

 Dusit Niyato is a President's Chair Professorin the College of Computing & Data Science (CCDS), Nanyang TechnologicalUniversity, Singapore. Dusit's research interests are in the areas of mobilegenerative AI, edge intelligence, quantum computing and networking, andincentive mechanism design. Currently, Dusit is serving as Editor-in-Chief(EiC) of IEEE Transactions on Network Science and Engineering (impact factor7.9). He is also the past EiC and current area editor of IEEE CommunicationsSurveys and Tutorials (impact factor 46.7). Dusit is the Associate EiC of IEEETransactions on Vehicular Technology, area editor of IEEE Transactions onCommunications, topical editor of IEEE Internet of Things Journal, lead serieseditor of IEEE Communications Magazine, topic editor of IEEE Transactions onServices Computing, senior area editor of IEEE Transactions on InformationForensics and Security (TIFS), and associate editor of IEEE Transactions onWireless Communications. Dusit is the Members-at-Large to the Board ofGovernors of IEEE Communications Society for 2024-2026. He is a Fellow of IEEE,IET, and CIC (China Institute of Communications).