Group 1 - Beijing's higher education admission process for undergraduate programs will allow students to fill out their applications for the first time from June 27 to July 1, 2025, following the release of their exam scores [1] - The Tongzhou District of Beijing has announced its 2025 compulsory education enrollment policy, which will primarily use a registration-based admission system, considering factors such as housing and residency [2] - The "Beijing University Student Entrepreneurship Park" has been officially launched, focusing on key industries such as high-end equipment and life health, to encourage student entrepreneurship [3] Group 2 - Peking University has established a new School of Science and Intelligence at its Shenzhen Graduate School, aimed at integrating artificial intelligence with basic sciences to cultivate interdisciplinary talents [4] Group 3 - Kede Education reported a 2.27% year-on-year decline in revenue for Q1 2025, totaling 183 million yuan, and a net profit of 37.97 million yuan, reflecting a 6.8% decrease compared to the previous year [5]

Core Insights - The article discusses the breakthrough of Shanghai's "Fuyiao" meteorological model, which aims to provide highly localized weather forecasts for urban areas, enhancing precision and response time in weather prediction [1][2][3]. Group 1: Technological Advancements - The "Fuyiao" model has improved spatial resolution by three times to 1 kilometer and reduced inference time from 10 minutes to 3 seconds, likening it to a "digital nervous system" for cities [3]. - The model integrates multi-modal data from radar, satellites, and numerical forecasts, achieving an end-to-end forecasting loop for short-term severe weather events [4]. - The CFFF (Computing for the Future at Fudan) platform, with a computing power of 40 PFlop/s, supports various scientific fields, including life sciences and atmospheric sciences, enhancing research capabilities [7][12]. Group 2: Collaborative Research and Development - The Shanghai Intelligent Research Institute (上智院) collaborates with universities and industries to drive innovation across multiple scientific domains, focusing on AI-driven research paradigms [4][12]. - The CFFF platform has linked nearly 4,000 users across 51 departments, supporting numerous high-impact research papers and national projects [12]. - The institute aims to break down barriers in vertical scientific fields by developing specialized AI models, such as the "Fuxi" meteorological model and the "Nüwa" life sciences model [14][16]. Group 3: Practical Applications - The "Fuxi" meteorological model has demonstrated its practical value by accurately predicting the landing point of Typhoon "Bebinca," outperforming other forecasting models [14]. - The "Nüwa" model focuses on drug development, particularly in siRNA research, significantly improving the accuracy of drug efficacy predictions [16][18]. - The "Suiren" molecular model addresses core challenges in material science, aiding in the development of sustainable materials and enhancing battery research [18][19]. Group 4: Climate and Social Sciences - The Planet Intelligence@Climate (PI@Climate) initiative aims to create a climate science language model that integrates data from various disciplines to address complex climate issues [22][23]. - The initiative has developed a benchmark system to validate the capabilities of climate models, enhancing their applicability in real-world scenarios [23][25]. - The collaboration between AI technology and humanities research is exemplified by the "Chinese Civilization Model," which seeks to analyze human interactions and cultural heritage [29][30]. Group 5: Infrastructure and Ecosystem Development - The establishment of a scientific corpus platform has enabled the collection and management of over 10 PB of high-quality scientific data, facilitating breakthroughs across multiple disciplines [42]. - The integration of AI tools and data governance is crucial for enhancing research efficiency and ensuring data security [39][42]. - The collaborative efforts between the Shanghai Intelligent Research Institute and Fudan University aim to create a comprehensive ecosystem for scientific intelligence, focusing on the integration of computing power, algorithms, and data [35][36].

Core Insights - Artificial intelligence is revolutionizing traditional industries, particularly in the field of new materials, with Beijing leading the way by hosting nearly one-third of the country's "AI + new materials" innovative enterprises [1][11]. Group 1: AI's Impact on Material Science - AI is redefining the research paradigm in material science, significantly enhancing research efficiency [2][3]. - Traditional material research, which often takes 20 to 30 years from discovery to application, is now being accelerated through AI technologies [1][4]. - For instance, a company was able to reduce the research and development cycle for a new electrolyte for electric vehicle batteries from 18 months to approximately 12 months, achieving a one-third reduction in time [3][4]. Group 2: Innovations in Smart Laboratories - Smart laboratories are transforming traditional research environments by automating processes such as material mixing, reaction monitoring, and data analysis, allowing for continuous operation without human intervention [4][5]. - These smart labs can conduct hundreds of automated experiments daily, significantly increasing research output compared to traditional methods [5][6]. - Tasks that previously took 10 to 20 days can now be completed in just 1 to 2 days due to automation and AI integration [6]. Group 3: Successful Applications and Developments - The integration of AI in new materials has led to notable achievements, such as Xiaomi's use of "Titanium Alloy" in their vehicles, which improved structural stability and reduced weight [7][8]. - Other significant developments include the creation of the world's strongest hydrogen-resistant thick plate material by China Steel Research and the design of a new generation of OLED materials without precious metals by the Beijing Academy of Science [8][9]. Group 4: Future Prospects and Strategic Plans - Beijing's strategic plan aims to enhance its "AI + new materials" innovation capabilities by 2027, targeting the development of 15 benchmark new materials products empowered by AI [11]. - The city is positioned as a hub for "AI for Science," leveraging its talent pool, application scenarios, and innovative ecosystem to drive advancements in material science [10][11].