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
本文基于C/S(Client-Server)网络架构、网络路由、OpenFlow交换机、SDN(Software Defined Network)控制器、SQL Server数据库、边缘云服务器等软硬件,构建了涵盖基础层、网络通信层、任务调度层、云服务层的内生边缘计算系统,使用MQTT...本文基于C/S(Client-Server)网络架构、网络路由、OpenFlow交换机、SDN(Software Defined Network)控制器、SQL Server数据库、边缘云服务器等软硬件,构建了涵盖基础层、网络通信层、任务调度层、云服务层的内生边缘计算系统,使用MQTT协议、TCP/IP通信协议进行通信双方数据消息队列的订阅/发布传输,使用NSGA-II非支配排序遗传算法技术完成边缘计算场景的节点多目标数据传输,实现动态化任务调度与卸载管理,进而提升网络带宽及算力资源调配质量、降低网络通信时延及能耗。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.
文摘本文基于C/S(Client-Server)网络架构、网络路由、OpenFlow交换机、SDN(Software Defined Network)控制器、SQL Server数据库、边缘云服务器等软硬件,构建了涵盖基础层、网络通信层、任务调度层、云服务层的内生边缘计算系统,使用MQTT协议、TCP/IP通信协议进行通信双方数据消息队列的订阅/发布传输,使用NSGA-II非支配排序遗传算法技术完成边缘计算场景的节点多目标数据传输,实现动态化任务调度与卸载管理,进而提升网络带宽及算力资源调配质量、降低网络通信时延及能耗。
