[电气机械和器材制造业,计算机、通信和其他电子设备制造业,仪器仪表制造业] [2025-10-31]
专用设备行业:核聚变产业进程加速,多技术路线并行发展-可控核聚变深度
[信息传输、软件和信息技术服务业,计算机、通信和其他电子设备制造业] [2025-10-30]
计算机行业:国务院推进人工智能行动文件正式发布,政策支持与产业共振
[计算机、通信和其他电子设备制造业,信息传输、软件和信息技术服务业] [2025-10-30]
计算机行业:从阅兵看无人化和AI的赋能
[计算机、通信和其他电子设备制造业,信息传输、软件和信息技术服务业] [2025-10-30]
计算机行业:AI搜索如火如潮,用户有何“心声_-2025年中国AI搜索主流产品评估
[计算机、通信和其他电子设备制造业,信息传输、软件和信息技术服务业] [2025-10-30]
计算机行业:2025年全球及中国RWA行业及案例分析评估报告(精华版)
[信息传输、软件和信息技术服务业,计算机、通信和其他电子设备制造业] [2025-10-30]
计算机行业:2025年中报总结
[计算机、通信和其他电子设备制造业] [2025-10-30]
计算机行业:“人工智能十_行动文件印发,AI应用紧跟算力浪潮-计算机2025年9月研究观点
[计算机、通信和其他电子设备制造业] [2025-10-30]
K-12 blended e-learning is an educational approach that combines traditional face-to-face classroom instruction with online learning components. This model enhances the learning experience by leveraging the flexibility and accessibility of digital tools while maintaining the benefits of in-person teaching
[仪器仪表制造业,计算机、通信和其他电子设备制造业] [2025-10-30]
Intelligent pumps refer to pumping equipment that can regulate and control flow or pressure. These are also defined as a combination of pumps that have a variable frequency drive and digital control capabilities. They help in managing energy consumption in end-user industries by remotely monitoring the processes and ensuring control of remote systems. Intelligent pumps include wireless control and monitoring capabilities that enable end-users to access real-time operational data. This helps reduce downtime in processes and improves the predictive maintenance plans of end-users.
[计算机、通信和其他电子设备制造业,仪器仪表制造业] [2025-10-30]
Intelligent process automation (IPA) refers to the integration of advanced technologies such as robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to automate complex business processes. IPA goes beyond traditional automation by enabling systems to learn, adapt, and make decisions, improving operational efficiency, accuracy, and productivity across industries. It helps organizations streamline workflows, reduce manual errors, and enhance customer experiences while driving digital transformation.