Core Insights - The 10th Bio-based Conference and Exhibition was held in Shanghai from May 26-27, 2025, focusing on AI-enabled innovation in new materials and applications in bio-based materials [1][3][19] - The conference featured discussions on the development trends of the bio-manufacturing industry in China, highlighting its potential as a global bio-manufacturing center [3] - Various experts presented on the integration of AI in chemical new materials research and production, emphasizing the challenges and opportunities in this field [7][16] Group 1: Industry Trends and Insights - YiKai Capital's partner shared insights on the definition and market size of the global and Chinese bio-manufacturing industry, along with development trends and capital market reviews for 2024 and 2025 [3] - The Shanghai Academy of Science's researcher discussed a dual-driven molecular pre-training model that significantly improved reaction selectivity by five times and designed new biodegradable polymer materials [5] - The roundtable discussions included perspectives from investment institutions and scientific experts on how AI can enhance the efficiency of bio-based material research and development [9][15] Group 2: AI Applications in Material Science - The market director of Magnesium Technology presented on the application of AI in the research and production of chemical new materials, addressing the challenges faced in implementing these technologies [7] - A report on high-resolution atomic imaging analysis using deep learning highlighted the limitations of traditional models and introduced a new framework for analyzing structural diversity [11] - The application of AI in polymer material design was discussed, showcasing recent advancements and case studies in composite materials and organic photovoltaic materials [13]

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].