科学通用智能(AGI for Science)

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科研顶流给你当助手?深势科技联合上交大发布通用科研智能体SciMaster
36氪· 2025-07-28 09:48
Core Viewpoint - SciMaster is positioned as a revolutionary scientific assistant that leverages AI to transform the research landscape, making scientific inquiry more accessible and efficient for researchers across disciplines [2][3][19]. Group 1: Introduction of SciMaster - On July 26, Shanghai Jiao Tong University, DeepMind Technology, and Shanghai Algorithm Innovation Institute jointly launched the Innovator model, which serves as the foundation for the SciMaster research assistant [2]. - SciMaster is designed to address the challenges faced in scientific research, particularly the overwhelming volume of literature and the need for interdisciplinary collaboration [5][19]. Group 2: Functionality and Capabilities - SciMaster exhibits expert-level deep research capabilities, generating customized high-quality research reports based on user queries [7][10]. - It employs a multi-faceted approach to problem-solving, utilizing WebSearch, WebParse, and PaperSearch to gather relevant information from the internet and academic literature [8]. - The platform allows researchers to intervene in the research process, enabling them to modify the execution logic and collaborate with SciMaster for optimized outcomes [12]. Group 3: Integration and Collaboration - SciMaster is reshaping the research paradigm by integrating with over 40 universities, creating a "super research platform" that enhances collaboration and innovation [15]. - The platform facilitates a closed-loop experimental ecosystem by integrating laboratory instruments and software systems, significantly improving research efficiency [15]. Group 4: Open Source and Community Engagement - SciMaster embraces open-source principles, allowing users to upgrade existing scientific tools into intelligent agents, fostering a community of shared resources and tools [17]. - The platform has established a contribution evaluation and reward mechanism, promoting the development of numerous agent-ready tools and applications [17]. Group 5: Future Implications - The integration of AI in scientific research is anticipated to lead to a fundamental transformation in social relations and research methodologies, echoing historical technological revolutions [23]. - SciMaster aims to usher in a new era of Scientific General Intelligence (SGI), where user inquiries drive the evolution of research capabilities [24].