Core Viewpoint - The integration of supercomputing performance breakthroughs with artificial intelligence is transforming global weather forecasting from unpredictability to predictability [2][3]. Group 1: Event Overview - The 8th GAIR Global Artificial Intelligence and Robotics Conference commenced in Shenzhen, focusing on the intersection of AI and industry [3]. - The conference featured a keynote by Professor Fu Haohuan, discussing the application of supercomputing in Earth system modeling and the challenges faced [3][4]. Group 2: Supercomputing in Earth System Modeling - Recent advancements in domestic supercomputing systems, such as Sunway, have significantly improved the spatial and temporal resolution of Earth system models, achieving daily global climate simulations at a one-kilometer level [4]. - The goal is to develop a high-precision weather forecasting system for the Greater Bay Area with a resolution of 100 meters, leveraging supercomputing and AI [4][8]. Group 3: Challenges in Supercomputing - The exponential growth in computational demand due to increased model complexity and the need for higher spatial resolution presents significant challenges [12][14]. - Integrating vast amounts of observational data from thousands of satellites into models is a critical area where AI can play a significant role [14]. Group 4: Development of Domestic Supercomputers - The Sunway series of supercomputers, particularly the Sunway TaihuLight, has achieved world-leading performance with a peak capability exceeding 100 Pflops and a parallel scale of 10 million cores [18][21]. - The development of over 200 scalable applications on the Sunway architecture demonstrates the potential of domestic supercomputers in scientific computing [21][22]. Group 5: Future Directions - The upcoming Shenzhen Supercomputing Phase II aims to enhance computational efficiency significantly, with expected double-precision performance reaching 2 ExaFLOPS [76][79]. - The integration of traditional supercomputing with AI supercomputing is anticipated to create new applications and improve weather forecasting capabilities [76][84].

Group 1 - The ASC World University Supercomputing Competition (ASC25) concluded on May 14 in Qinghai, with Shanghai Jiao Tong University and Peking University winning the first and second places respectively [1][2] - The competition, initiated by China, is the largest university supercomputing contest globally, attracting over 300 teams from around the world to participate [1][4] - The event lasted nearly five months, with the final competition held at Qinghai University from May 10 to 14, featuring 25 teams that advanced from the preliminary rounds [1] Group 2 - Shanghai Jiao Tong University excelled in multiple topics such as AlphaFold3 inference optimization and cosmic neutrino detection simulation, securing the championship [2] - Peking University performed well in RNA methylation modification site detection, earning the runner-up position [2] - A super team composed of Sun Yat-sen University, Peking University, Beijing Normal University, Fuzhou University, and National Taiwan University received the Super Team Award [2] Group 3 - The president of Qinghai University emphasized the importance of integrating supercomputing with artificial intelligence for talent development, highlighting the need for collaborative innovation in algorithms and computing power [4] - The ASC competition aims to promote the cultivation of young talents in supercomputing through technological competitions and cutting-edge applications, having held 12 editions to date and attracting thousands of university students from six continents [4]