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AI Powers Global Early Warning Systems
2 Jun
Summary
- AI training course empowers global disaster prevention efforts.
- Over 30 countries share AI solutions for meteorological challenges.
- China's MAZU solution aids developing nations in extreme weather.
The second international training course focused on artificial intelligence for early warnings commenced this week in Shanghai. Representatives from more than 30 nations, spanning Asia, Africa, South America, and the Pacific, gathered to exchange knowledge and practical cooperation in leveraging AI for meteorological disaster prevention.
Discussions highlighted the escalating importance of robust early warning systems due to climate change increasing extreme weather events. The United Nations' Early Warnings for All initiative, launched in 2022, seeks universal protection from hazardous events by 2027. China's MAZU solution, named after an ancient sea goddess, exemplifies a national response, now expanding internationally to support developing countries in managing climate risks.
