战术博弈对抗仿真作为作战分析、模拟训练、装备论证试验的重要手段,已经成为战斗力生成的重要途径。将人工智能技术引入仿真,有利于进一步提高仿真效率、减少人员依赖。为帮助战术博弈对抗从业人员更好地掌握人工智能的应用方法、树立...战术博弈对抗仿真作为作战分析、模拟训练、装备论证试验的重要手段,已经成为战斗力生成的重要途径。将人工智能技术引入仿真,有利于进一步提高仿真效率、减少人员依赖。为帮助战术博弈对抗从业人员更好地掌握人工智能的应用方法、树立系统理念、把握发展趋势,在简要介绍AI4S(AI for Science)原理的基础上,开展了AI4S应用于战术博弈对抗仿真的效能分析,构建了AI4S驱动的博弈对抗仿真体系,阐述了其体系构成、关系及架构,讨论了应用范围及应用框架,展示了一个AI4S驱动陆战兵棋推演和指挥训练的案例。展开更多
[目的/意义]梳理AI for Science(AI4S)领域的研究现状与发展趋势,为AI在科学研究中的应用提供前瞻性洞见。[方法/过程]以2015—2024年WoS核心数据库中AI4S领域相关文献为研究对象,将文献计量分析与BERTopic模型相结合,针对该领域的发文...[目的/意义]梳理AI for Science(AI4S)领域的研究现状与发展趋势,为AI在科学研究中的应用提供前瞻性洞见。[方法/过程]以2015—2024年WoS核心数据库中AI4S领域相关文献为研究对象,将文献计量分析与BERTopic模型相结合,针对该领域的发文趋势、发文国家、核心作者进行主题识别和发展趋势分析。[结果/结论]研究表明,AI4S领域相关文献数量呈指数型增长趋势,中国发文量居首位,但被引次数略低于美国,核心研究群体主要集中在国外学者。文章还识别出22个主题,并将其归纳为6大研究方向,重点应用领域包括人工智能与教育科技研究、医疗健康与人工智能诊断、精准农业与气候变化、材料化学与深度学习和高性能锂电池技术,其中AI与精准农业、AI与心理健康、AI与锂电池技术等是近年的研究热点。展开更多
The global health landscape has been persistently challenged by the emergence and re-emergence of infectious diseases.Traditional epidemiological models,rooted in the early 2oth century,have provided foundational in-s...The global health landscape has been persistently challenged by the emergence and re-emergence of infectious diseases.Traditional epidemiological models,rooted in the early 2oth century,have provided foundational in-sights into disease dynamics.However,the intricate web of modern global interactions and the exponential growth of available data demand more advanced predictive tools.This is where AI for Science(AI4S)comes into play,offering a transformative approach by integrating artificial intelligence(Al)into infectious disease pre-diction.This paper elucidates the pivotal role of AI4s in enhancing and,in some instances,superseding tradi-tional epidemiological methodologies.By harnessing AI's capabilities,AI4S facilitates real-time monitoring,sophisticated data integration,and predictive modeling with enhanced precision.The comparative analysis highlights the stark contrast between conventional models and the innovative strategies enabled by AI4S.In essence,Al4S represents a paradigm shift in infectious disease research.It addresses the limitations of traditional models and paves the way for a more proactive and informed response to future outbreaks.As we navigate the complexities of global health challenges,Al4S stands as a beacon,signifying the next phase of evolution in disease prediction,characterized by increased accuracy,adaptability,and efficiency.展开更多
文摘战术博弈对抗仿真作为作战分析、模拟训练、装备论证试验的重要手段,已经成为战斗力生成的重要途径。将人工智能技术引入仿真,有利于进一步提高仿真效率、减少人员依赖。为帮助战术博弈对抗从业人员更好地掌握人工智能的应用方法、树立系统理念、把握发展趋势,在简要介绍AI4S(AI for Science)原理的基础上,开展了AI4S应用于战术博弈对抗仿真的效能分析,构建了AI4S驱动的博弈对抗仿真体系,阐述了其体系构成、关系及架构,讨论了应用范围及应用框架,展示了一个AI4S驱动陆战兵棋推演和指挥训练的案例。
基金2024年度上海市重点智库课题“人工智能驱动科研范式变革研究及对上海布局AI for Science的启示”。
文摘[目的/意义]梳理AI for Science(AI4S)领域的研究现状与发展趋势,为AI在科学研究中的应用提供前瞻性洞见。[方法/过程]以2015—2024年WoS核心数据库中AI4S领域相关文献为研究对象,将文献计量分析与BERTopic模型相结合,针对该领域的发文趋势、发文国家、核心作者进行主题识别和发展趋势分析。[结果/结论]研究表明,AI4S领域相关文献数量呈指数型增长趋势,中国发文量居首位,但被引次数略低于美国,核心研究群体主要集中在国外学者。文章还识别出22个主题,并将其归纳为6大研究方向,重点应用领域包括人工智能与教育科技研究、医疗健康与人工智能诊断、精准农业与气候变化、材料化学与深度学习和高性能锂电池技术,其中AI与精准农业、AI与心理健康、AI与锂电池技术等是近年的研究热点。
基金This work was supported in part by the New Generation Artificial Intelligence Development Plan of China(2015-2030)(Grant No.2021ZD0111205)the National Natural Science Foundation of China(Grant Nos.72025404,72293575 and 72074209).
文摘The global health landscape has been persistently challenged by the emergence and re-emergence of infectious diseases.Traditional epidemiological models,rooted in the early 2oth century,have provided foundational in-sights into disease dynamics.However,the intricate web of modern global interactions and the exponential growth of available data demand more advanced predictive tools.This is where AI for Science(AI4S)comes into play,offering a transformative approach by integrating artificial intelligence(Al)into infectious disease pre-diction.This paper elucidates the pivotal role of AI4s in enhancing and,in some instances,superseding tradi-tional epidemiological methodologies.By harnessing AI's capabilities,AI4S facilitates real-time monitoring,sophisticated data integration,and predictive modeling with enhanced precision.The comparative analysis highlights the stark contrast between conventional models and the innovative strategies enabled by AI4S.In essence,Al4S represents a paradigm shift in infectious disease research.It addresses the limitations of traditional models and paves the way for a more proactive and informed response to future outbreaks.As we navigate the complexities of global health challenges,Al4S stands as a beacon,signifying the next phase of evolution in disease prediction,characterized by increased accuracy,adaptability,and efficiency.
