Core Insights - The core focus of the article is the launch of the OneScience platform by Zhongke Shuguang at the 2025 China Computer Conference, which aims to enhance the efficiency of scientific model development through an integrated environment for artificial intelligence-driven research [2]. Group 1: Platform Features - OneScience is designed based on an open architecture for artificial intelligence computing, leveraging domestic computing power to replicate and integrate numerous AI-driven scientific research models and datasets [2]. - The platform supports various fields such as Earth sciences, bioinformatics, fluid simulation, and materials chemistry, enabling users to develop new models and significantly improve research and optimization efficiency [2]. - It provides a one-stop development environment for scientific models, integrating scattered models and research scenarios into a unified intelligent research platform, covering the entire process from model training to inference application [2]. Group 2: Market Impact - The transition of AI scientific models from "task-oriented" to "general-purpose" is leading to rapid growth in model parameters, with the performance of the "super-intelligent fusion" system doubling every nine months [2]. - OneScience platform is currently available for download through supercomputing internet and various community platforms, supporting multiple domestic research institutions in efficient development across fields like biomolecular design and meteorology [2].

Core Viewpoint - The launch of OneScience, a one-stop development platform for scientific large models by Zhongke Shuguang, marks a significant advancement in China's computing industry, particularly in the realm of domestic GPU support [1] Group 1 - On October 23, Zhongke Shuguang unveiled its first scientific large model development platform, OneScience, at the 2025 China Computer Conference [1] - The OneScience platform supports model code reproduction and optimization on domestic GPUs, enhancing the capabilities of local developers [1] - The platform is accessible for download through various community platforms, including Github, Gitee, and supercomputing internet, promoting wider industry adoption [1]

Core Insights - The launch of the ZDTC 4.0 multimodal reasoning model and the "ZDTC Cloud" platform aims to promote the industrialization of domestic large models, with 28 companies signing agreements to become ecosystem partners [2][5]. Group 1: Model Development - The ZDTC 4.0 model represents a significant milestone in the evolution of multimodal large models, transitioning from passive analysis to active reasoning capabilities [3]. - The model can integrate multimodal information and generate explainable intelligent decisions, showcasing its ability to respond in seconds to user queries, such as providing travel information based on a photo [3][4]. - Compared to the previous version, ZDTC 3.0, the 4.0 version demonstrates enhanced fine-grained multimodal interaction and reasoning abilities, allowing it to mimic human attention mechanisms [3][4]. Group 2: Applications and Impact - The ZDTC model has been applied in over 100 scenarios, including a smart service platform for orthopedic instruments that manages thousands of medical supplies [5]. - The "ZDTC Cloud" platform offers comprehensive support for enterprises, covering computing power services, model training, application development, and embodied intelligence [5]. - The model has been benchmarked against international standards in multimodal understanding and logical reasoning, achieving breakthroughs in tasks such as long video comprehension [4]. Group 3: Future Prospects - The company aims to create more benchmark cases in low-altitude economy, embodied intelligence, manufacturing, and healthcare, with a revenue target of 100 million yuan by 2025 [5]. - The establishment of partnerships with various organizations, including the "AI + Meteorology" innovation studio, indicates a strategic focus on collaborative development in AI technology [7].

Group 1 - The State Council's recent opinion emphasizes the importance of "AI + Science and Technology" as a top priority, indicating a strategic shift to leverage AI for scientific breakthroughs and societal development [1][3] - The concept of "scientific paradigm" is introduced, highlighting how AI is becoming a new paradigm in scientific research, akin to previous shifts from experimental methods to data-driven approaches [4][10] - AI is seen as a powerful tool that enhances research capabilities, enabling scientists to tackle previously insurmountable challenges, such as protein structure prediction [4][6] Group 2 - AI's integration into scientific research is already widespread, particularly in literature review and knowledge synthesis, significantly improving efficiency [5][10] - The development of "scientific large models" is crucial, which are designed to understand and analyze complex scientific data, thus acting as advanced research tools [7][8] - The current stage of scientific large model development faces challenges related to data quality and accessibility, but there is a significant opportunity in leveraging the country's educational resources for data annotation [8][9] Group 3 - AI is breaking down traditional disciplinary barriers, allowing for interdisciplinary research that focuses on problem-solving rather than adhering to specific academic fields [10][11] - The rise of AI is prompting a reevaluation of philosophical and social science research methodologies, expanding the scope of inquiry to include the societal impacts of AI [11][12] - Future scientific research is expected to be transformed by AI, enabling young scientists to focus more on innovation rather than repetitive tasks, thus enhancing their productivity [13][14]