In the wave of the“Internet+AI”era,information technology is comprehensively reshaping the landscape of college English reading education.Traditional teaching models struggle to meet the demands of talent cultivatio...In the wave of the“Internet+AI”era,information technology is comprehensively reshaping the landscape of college English reading education.Traditional teaching models struggle to meet the demands of talent cultivation in the new era.The integration of“Internet+AI”technologies brings revolutionary opportunities to reading instruction,significantly enriching teaching resources,enabling personalized teaching,enhancing interactivity,and optimizing evaluation systems.Guided by principles such as student-centeredness and integrated innovation,this study proposes multiple strategies for advancing teaching practices.Using the Understanding Contemporary China:English Reading and Writing Tutorial(Foreign Language Teaching and Research Press)as a case study,this paper explores practical pathways for reforming college English reading instruction,aiming to improve teaching quality and students’comprehensive English reading literacy.展开更多
In this paper, we examine the fundamental transformation of Property & Casualty (P&C) insurance through the introduction of Artificial Intelligence. This examination marks the shift from the traditional actuar...In this paper, we examine the fundamental transformation of Property & Casualty (P&C) insurance through the introduction of Artificial Intelligence. This examination marks the shift from the traditional actuarial methods to a dynamically data-driven approach. Some key innovations include the buzz around Large Language Models (LLMs) for customer interaction, Internet of Things (IoT) enabled risk-monitoring in real time and Machine Learning allowing for automated claims processing. The research highlights the early adopters like AXA, Lemonade and Allianz who are actively leveraging AI to reduce claims processing times by 80% while reducing manual labour and increasing customer satisfaction. The most critical of this transformation is the emergence of roles that act like hybrid strategists. Such professionals combine traditional insurance expertise with acumen in technology. In our paper, we discuss the requirement of how AI demands more than just simple adoption. It needs a comprehensive restructuring of organizational culture, better data infrastructure and better ethical frameworks. Development in Explainable AI (XAI) is also noteworthy for maintaining transparency, handling complex risks and addressing regulatory requirements while alignment with customer trust concerns.展开更多
融合物联网技术云计算技术提出智能传感激光SLAM(Simultaneous localization and mapping)算法,首先基于成分分析法相邻帧的点云计算矩阵进行粗配准,再使用改良后算法提供的改进点到线迭代的最近配准算法来弥补传统算法精度较低的问题...融合物联网技术云计算技术提出智能传感激光SLAM(Simultaneous localization and mapping)算法,首先基于成分分析法相邻帧的点云计算矩阵进行粗配准,再使用改良后算法提供的改进点到线迭代的最近配准算法来弥补传统算法精度较低的问题。采用了多重采样的算法在多次复制大权重例子集合的背景下利用小权重粒子集合来提升移动机器人路径定位精准度。最后将改良后的算法运用于AI移动机器人,实验结果表明,改进后的SLAM算法对移动机器人的路径设计的定位精准度有了较大提升,AI机器人可以具备优良的避障功能,对于已知环境或者非完全已知环境中存在的障碍物都具有良好的适应能力。展开更多
文摘In the wave of the“Internet+AI”era,information technology is comprehensively reshaping the landscape of college English reading education.Traditional teaching models struggle to meet the demands of talent cultivation in the new era.The integration of“Internet+AI”technologies brings revolutionary opportunities to reading instruction,significantly enriching teaching resources,enabling personalized teaching,enhancing interactivity,and optimizing evaluation systems.Guided by principles such as student-centeredness and integrated innovation,this study proposes multiple strategies for advancing teaching practices.Using the Understanding Contemporary China:English Reading and Writing Tutorial(Foreign Language Teaching and Research Press)as a case study,this paper explores practical pathways for reforming college English reading instruction,aiming to improve teaching quality and students’comprehensive English reading literacy.
文摘In this paper, we examine the fundamental transformation of Property & Casualty (P&C) insurance through the introduction of Artificial Intelligence. This examination marks the shift from the traditional actuarial methods to a dynamically data-driven approach. Some key innovations include the buzz around Large Language Models (LLMs) for customer interaction, Internet of Things (IoT) enabled risk-monitoring in real time and Machine Learning allowing for automated claims processing. The research highlights the early adopters like AXA, Lemonade and Allianz who are actively leveraging AI to reduce claims processing times by 80% while reducing manual labour and increasing customer satisfaction. The most critical of this transformation is the emergence of roles that act like hybrid strategists. Such professionals combine traditional insurance expertise with acumen in technology. In our paper, we discuss the requirement of how AI demands more than just simple adoption. It needs a comprehensive restructuring of organizational culture, better data infrastructure and better ethical frameworks. Development in Explainable AI (XAI) is also noteworthy for maintaining transparency, handling complex risks and addressing regulatory requirements while alignment with customer trust concerns.
文摘融合物联网技术云计算技术提出智能传感激光SLAM(Simultaneous localization and mapping)算法,首先基于成分分析法相邻帧的点云计算矩阵进行粗配准,再使用改良后算法提供的改进点到线迭代的最近配准算法来弥补传统算法精度较低的问题。采用了多重采样的算法在多次复制大权重例子集合的背景下利用小权重粒子集合来提升移动机器人路径定位精准度。最后将改良后的算法运用于AI移动机器人,实验结果表明,改进后的SLAM算法对移动机器人的路径设计的定位精准度有了较大提升,AI机器人可以具备优良的避障功能,对于已知环境或者非完全已知环境中存在的障碍物都具有良好的适应能力。
