Chinas AI Academy Names Top 2025 Research Committees

Chinas AI Academy Names Top 2025 Research Committees

The Chinese Association for Artificial Intelligence (CAAI) announced the list of Excellent Technical Committees for 2025, with 11 committees honored. These committees cover cutting-edge fields such as granular computing, machine learning, and metaverse technologies. This recognition showcases the innovative vitality of China's AI academic community and points the way for future development in the field. They serve as AI trendsetters, guiding research and application in key areas of artificial intelligence.

AI Transforms Global B2B Sourcing for Export Growth

AI Transforms Global B2B Sourcing for Export Growth

B2B foreign trade companies face challenges in customer acquisition, with traditional methods being costly. This article points out that by leveraging big data and AI technology, through internet big data search, historical trade data analysis, global company database screening, and AI cross-border video tools, companies can achieve efficient and precise customer acquisition, reduce costs, improve inquiry quality, and boost business growth. This approach offers a data-driven and AI-powered solution to overcome the limitations of traditional B2B lead generation methods.

AI Boosts Home Hardware Firms US Market Growth

AI Boosts Home Hardware Firms US Market Growth

A furniture hardware company in Guangzhou achieved precise customer acquisition in the US market using the "TradeXiaoqi" AI customer acquisition tool. By configuring precise tasks and crafting professional prospecting emails, the company significantly improved inquiry conversion rates and reduced customer acquisition costs. This case demonstrates the immense potential of AI technology in the foreign trade sector. Businesses should actively embrace AI to achieve intelligent transformation.

Four Key AI Agent Architectures for Optimal Deployment

Four Key AI Agent Architectures for Optimal Deployment

This paper delves into four core deployment modes for AI Agents: batch, streaming, real-time, and edge. Through real-world examples, it elucidates the applicable scenarios, advantages, disadvantages, and key selection points for each mode. The paper emphasizes the importance of choosing the appropriate deployment mode based on data characteristics, experience requirements, and cost constraints. Furthermore, it proposes strategies for combining multiple modes to optimize product experience and cost structure, enabling a more efficient and tailored AI Agent implementation.

Workshop Offers Handson Enterprise AI Knowledge Base Training

Workshop Offers Handson Enterprise AI Knowledge Base Training

This two-day online advanced training course, "Enterprise-level AI Knowledge Base Construction and Intelligent Agent System Panoramic Implementation Practice," is co-organized by the CIIT Project Office of the China Communications Industry Association and several technology companies. The curriculum covers the entire process from requirements analysis, architecture design, data processing, intelligent agent training to implementation optimization and effect evaluation. It aims to help enterprises and institutions master the core construction capabilities of AI knowledge bases and intelligent agent systems, and improve organizational efficiency.

AI Avatars Transform Online Education with Personalized Courses

AI Avatars Transform Online Education with Personalized Courses

This article details how to use iDream AI and CapCut to create student digital humans and integrate them into premium courseware, enhancing teaching fun and interactivity. By leveraging AI-generated images, video generation, and CapCut synthesis, a personalized learning experience is created, injecting new vitality into education. The process involves crafting digital avatars of students and seamlessly incorporating them into course materials, making learning more engaging and relatable. This innovative approach offers a dynamic and modern way to deliver educational content.

CH Robinson Adopts AI to Automate Freight Transactions

CH Robinson Adopts AI to Automate Freight Transactions

C.H. Robinson has achieved a breakthrough in automating email freight transactions using AI. By automating email processing, accelerating transaction workflows, and enabling data-driven decision-making, they are breaking down industry automation barriers, significantly improving efficiency and reducing costs. The company plans to further invest in AI to achieve comprehensive automation of freight processes. This initiative demonstrates a commitment to leveraging AI to streamline operations and enhance the overall logistics experience, paving the way for a more efficient and cost-effective future in freight management.

02/04/2026 Logistics
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AI Boosts Logistics Efficiency in Warehousing and Hiring

AI Boosts Logistics Efficiency in Warehousing and Hiring

This article delves into the challenges and opportunities facing the logistics industry, focusing on AI-driven digital freight matching, optimized delivery strategies, workforce management, technological innovation, and the competition for talent. Through case studies and industry insights, it provides practical strategies for companies to improve logistics efficiency, reduce costs, and enhance competitiveness. The paper explores how companies can leverage new technologies and effective management practices to thrive in the evolving logistics landscape.

02/04/2026 Logistics
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Google Cloud Launches AI Tools for Lastmile Delivery

Google Cloud Launches AI Tools for Lastmile Delivery

Google Cloud has launched the Cloud Fleet Routing API and Last Mile Fleet Solution, integrating Google Maps capabilities to help logistics companies improve delivery efficiency, reduce costs, and optimize customer experience. These solutions provide advanced route planning and optimization tools, leveraging Google's mapping data and AI to streamline logistics operations. By utilizing these services, businesses can enhance their last-mile delivery performance, improve customer satisfaction, and achieve significant cost savings through optimized routes and resource allocation.

02/04/2026 Logistics
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AI Transforms Logistics Deepseeks Impact on Supply Chains

AI Transforms Logistics Deepseeks Impact on Supply Chains

This article provides an in-depth analysis of the application prospects and challenges of AI in the logistics industry. Through the professional perspective of Mr. Cai Xiaoming from InstaFlow, it explores the use of AI in intelligent route optimization, intelligent customs clearance, and freight market forecasting. The article emphasizes that companies should actively embrace AI and build intelligent logistics systems. Practitioners should continuously learn and improve their professional skills to adapt to industry development trends. The adoption of AI is crucial for enhancing efficiency and competitiveness in the modern logistics landscape.