未来6G网络将内生支持通信和AI一体化服务,赋能丰富多彩的新业务,支撑社会高效可持续发展。为此,借鉴了IT行业AI Agent的应用范式,基于电信应用场景创新地提出了6G AI Agent技术框架的三大设计理念,包括多模型融合、定制化Agent和插件...未来6G网络将内生支持通信和AI一体化服务,赋能丰富多彩的新业务,支撑社会高效可持续发展。为此,借鉴了IT行业AI Agent的应用范式,基于电信应用场景创新地提出了6G AI Agent技术框架的三大设计理念,包括多模型融合、定制化Agent和插件式环境交互,并基于该理念构建了6G AI Agent技术框架。通过环境交互层、Agent引擎层、模型调度层、模型基座层交互协同,实现了自主环境感知、自主任务生成和自主执行任务的能力。此外,以移动网络的智能感知任务为例,探索了AI Agent的使用场景及价值,为AI新技术在电信领域发展提供了新的思路和技术支撑。展开更多
Future-oriented Science&Technology(S&T)Strategies trigger the innovative developments of advanced materials,providing an envision to the significant progress of leading-/cutting-edge science,engineering,and te...Future-oriented Science&Technology(S&T)Strategies trigger the innovative developments of advanced materials,providing an envision to the significant progress of leading-/cutting-edge science,engineering,and technologies for the next few decades.Motivated by Made in China 2025 and New Material Power Strategy by 2035,several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data,database,standards,and ecosys-tems are discussed.Referring to classical toolkits at various spatial and temporal scales,AI-based toolkits and AI-enabled computations for material design are compared,highlighting the dominant role of the AI agent paradigm.Our recent developed ProME platform together with its functions is introduced briefly.A case study of AI agent assistant welding is presented,which is consisted of the large language model,auto-coding via AI agent,image processing,image mosaic,and machine learning for welding defect detection.Finally,more duties are called to educate the next generation workforce with creative minds and skills.It is believed that the transformation of knowledge-enabled data-driven integrated computational material engineering era to AI^(+) era promotes the transformation of smart design and manufacturing paradigm from“designing the materials”to“designing with materials.”展开更多
文摘未来6G网络将内生支持通信和AI一体化服务,赋能丰富多彩的新业务,支撑社会高效可持续发展。为此,借鉴了IT行业AI Agent的应用范式,基于电信应用场景创新地提出了6G AI Agent技术框架的三大设计理念,包括多模型融合、定制化Agent和插件式环境交互,并基于该理念构建了6G AI Agent技术框架。通过环境交互层、Agent引擎层、模型调度层、模型基座层交互协同,实现了自主环境感知、自主任务生成和自主执行任务的能力。此外,以移动网络的智能感知任务为例,探索了AI Agent的使用场景及价值,为AI新技术在电信领域发展提供了新的思路和技术支撑。
基金funded by the National Basic Scientific Research Project of China(No.JCKY2020607B003)the Joint Strategy Research&Consulting Project supported by the Chinese Academy of Engineering and National Natural Science Foundation of China(No.2022-ZCQ-03).
文摘Future-oriented Science&Technology(S&T)Strategies trigger the innovative developments of advanced materials,providing an envision to the significant progress of leading-/cutting-edge science,engineering,and technologies for the next few decades.Motivated by Made in China 2025 and New Material Power Strategy by 2035,several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data,database,standards,and ecosys-tems are discussed.Referring to classical toolkits at various spatial and temporal scales,AI-based toolkits and AI-enabled computations for material design are compared,highlighting the dominant role of the AI agent paradigm.Our recent developed ProME platform together with its functions is introduced briefly.A case study of AI agent assistant welding is presented,which is consisted of the large language model,auto-coding via AI agent,image processing,image mosaic,and machine learning for welding defect detection.Finally,more duties are called to educate the next generation workforce with creative minds and skills.It is believed that the transformation of knowledge-enabled data-driven integrated computational material engineering era to AI^(+) era promotes the transformation of smart design and manufacturing paradigm from“designing the materials”to“designing with materials.”
