Core Viewpoint - China has launched the "Mazu" meteorological warning system at the 2025 World Artificial Intelligence Conference in Shanghai, aimed at helping developing countries respond to natural disasters [1][2]. Group 1: System Overview - The "Mazu" system is named after a widely revered Chinese sea goddess in Southeast Asia and is designed for global coverage [2]. - The system integrates multiple disaster warnings into a single platform, emphasizing simplicity and collaboration in meteorological safety [3]. - The Chinese Meteorological Administration plans to enhance the meteorological warning system through training, providing forecasters with an open-source toolkit of AI models named "Wind Thunder," "Wind Clear," and "Wind Smooth," each tailored for different time frames from 10 minutes to 3 months [3]. Group 2: Global Context - The system is part of China's efforts to establish a network of warning partnerships with other countries to address extreme weather challenges [2]. - Advanced meteorological warning systems already exist in other countries, such as the U.S. National Weather Service and Japan Meteorological Agency, which rely heavily on local supercomputers and prioritize specific disaster types [2][3]. - The "Mazu-Urban" platform, a city-level disaster warning tool, has been donated to representatives from Djibouti and Mongolia, providing risk assessments, real-time monitoring, forecasts, automated disaster reports, and AI-generated emergency plans [3]. Group 3: Implementation and Reach - Since January, a pilot version of the "Mazu" system has been launched in 35 countries across Asia, Africa, and the Pacific [3]. - The system aims to facilitate global cooperation by making its AI models open-source [3].

Core Insights - The 2025 World Artificial Intelligence Conference showcased the rapid acceleration of AI applications across various sectors, highlighting its transformative potential in industries and scientific research [1][10]. Weather Forecasting and Disaster Warning - AI models in meteorology, such as "Rain Master" and "Fuyou," can advance disaster warnings by 15 to 45 minutes, enhancing urban disaster preparedness [2][3]. - The "Rain Master" model provides detailed insights into severe convective weather, while "Fuyou" focuses on short-term heavy rainfall and thunderstorms, improving forecast updates from hourly to every 10 minutes [3]. - The "MAZU" early warning system integrates AI technology with advanced algorithms and multi-source data for comprehensive disaster alerts [3][4]. Industrial Empowerment - AI is increasingly integrated into various industries, enhancing efficiency and quality, with examples including Siemens' industrial AI system that autonomously executes production tasks [7][8]. - Over 200 companies and 150,000 workers are collaborating with Siemens' AI system, which is expected to be implemented in China within the year [8]. - Tencent's "Magical Digital Human" improves content production efficiency by 50% and reduces live-streaming costs by up to 90%, applicable in e-commerce, education, and finance [8]. Scientific Discovery and Innovation - The term "AI4S" (Artificial Intelligence for Science) signifies the use of AI in scientific discovery, marking a shift from traditional research paradigms to innovative solutions in complex systems [11]. - AI4S has achieved breakthroughs in various fields, including quantum computing and life sciences, with significant advancements such as defect-free arrangement of quantum bits and new cancer treatment targets [11][13]. - The integration of AI into the entire research lifecycle is propelling scientific discovery towards large-scale innovation [13].