Core Viewpoint - Aerospace Development (000547.SZ) clarified on the investor interaction platform that the data from "Tianmu No. 1" has not been applied to the "Mazu (MAZU)" early warning plan released by the China Meteorological Administration [1] Group 1 - Aerospace Development confirmed that "Tianmu No. 1" data is not utilized in the national early warning system [1]

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].