Core Insights - The Chinese government has issued an opinion to accelerate the implementation of "Artificial Intelligence +" actions, emphasizing the need for new research paradigms driven by AI to enhance scientific discoveries [1] - Beijing is positioned as a leader in AI4S (AI for Science), leveraging its rich educational, technological, and talent resources to foster innovation and industrial transformation [1][5] - The establishment of the Beijing Institute of Scientific Intelligence marks a significant step in integrating AI with scientific research, aiming to create a new research paradigm and infrastructure [3][9] Group 1: AI4S Development and Impact - AI4S is recognized globally as a new paradigm that enhances scientific research efficiency and effectiveness, moving from theoretical concepts to practical applications [2][6] - The DeepFlame Rocket software exemplifies the transition from research to commercial applications in aerospace, significantly reducing simulation times and costs in rocket engine development [4][5] - Beijing has produced significant original achievements in AI4S, including a large atomic model and a new generation of research knowledge databases, contributing to the emergence of innovative companies [5][9] Group 2: Infrastructure and Ecosystem - The Bol Research Space Station serves as a foundational infrastructure for AI4S, addressing key challenges in literature management, interdisciplinary knowledge discovery, and experimental calculations [7][8] - The establishment of a collaborative ecosystem involving over 30 organizations in the OpenLAM project aims to enhance micro-scale design in various industries, including materials and pharmaceuticals [10][11] - The "Action Plan" outlines a roadmap for developing AI4S in Beijing, targeting the establishment of high-quality scientific databases and a competitive industrial cluster by 2027 [12][13] Group 3: Future Directions - The focus on breaking down disciplinary boundaries and enhancing collaboration between research and industry is expected to drive original innovations and improve research efficiency [6][10] - The ongoing development of large atomic models and other AI-driven tools is anticipated to revolutionize traditional research methodologies and accelerate the pace of scientific discovery [11][12] - Beijing's strategic initiatives aim to solidify its position as a hub for scientific intelligence, fostering an open and collaborative innovation ecosystem [13]

Core Viewpoint - The article discusses the integration of artificial intelligence (AI) into scientific research, highlighting Beijing's role as a leader in this transformation through the AI for Science (AI4S) initiative, which aims to enhance research efficiency and innovation [1][2][6]. Group 1: AI4S Development and Impact - AI4S is recognized as a new paradigm that accelerates scientific research, moving from theoretical concepts to practical applications, with a global consensus on its importance [2][4]. - The establishment of the Beijing Scientific Intelligence Research Institute in 2021 marks a significant step in combining AI with scientific research, aiming to create a new research infrastructure [3][5]. - The DeepFlame Rocket software exemplifies the transition from research to commercial applications in AI4S, significantly reducing the time and cost of rocket engine development [4][5]. Group 2: Infrastructure and Ecosystem - Beijing has developed a comprehensive innovation and industrial chain in AI, producing significant original achievements such as a large atomic model covering over 90 elements and a new generation of research knowledge databases [5][9]. - The "Bohler Research Space Station" serves as a foundational infrastructure for AI4S, providing tools for literature management, interdisciplinary knowledge discovery, and experimental calculations [7][8]. - The OpenLAM project aims to create a large atomic model to facilitate micro-scale design in various industries, demonstrating the collaborative efforts in building research infrastructure [10][11]. Group 3: Future Plans and Goals - The "Action Plan" outlines Beijing's strategy to establish a scientific foundation model and high-quality scientific databases by 2027, targeting over 10 million users and fostering an open-source ecosystem [12][13]. - The plan emphasizes the importance of collaboration among research institutions and enterprises to enhance the AI4S innovation ecosystem and drive significant scientific advancements [12][13].

Core Viewpoint - The article introduces SciMaster, the world's first general scientific intelligence agent, developed by Shanghai Jiao Tong University and DeepMind Technology, which serves as an expert-level research assistant for various scientific inquiries and everyday problems [1][42]. Group 1: Features and Capabilities - SciMaster integrates resources from the internet and 170 million scientific documents to assist users in overcoming research challenges [2]. - It offers two modes: a "general assistant" mode for quick insights and a "deep research" mode for comprehensive reports, including references and links [22][25]. - The tool can automatically match and utilize various scientific tools based on user queries, enhancing its functionality [28]. Group 2: Research and Application - SciMaster's core function is expert-level deep research, leveraging the Innovator model with multimodal capabilities [5]. - It can conduct extensive searches across the internet and scientific literature, employing methods like WebSearch, WebParse, and PaperSearch to gather relevant data [7][14]. - The tool has demonstrated its ability to refine search strategies based on initial results, leading to more relevant findings [10][15]. Group 3: Industry Impact and Future Prospects - SciMaster aims to reshape the research paradigm in universities, moving beyond traditional teaching and research methods [45]. - The collaboration between DeepMind Technology and various universities is expected to foster innovation and broaden the application of AI in scientific research [44][46]. - The ultimate goal of SciMaster is to become a leading platform in the AI for Science (AI4S) field, akin to Hugging Face in its domain [47][48].

Group 1 - The core viewpoint of the article emphasizes Beijing's commitment to integrating artificial intelligence with scientific research, aiming to establish itself as a global hub for scientific intelligence innovation by 2027 [1][2] - The "Action Plan for Accelerating the High-Quality Development of Artificial Intelligence Empowering Scientific Research (2025-2027)" outlines goals to create at least 10 high-quality scientific databases and serve no less than 10 million users [1] - Significant achievements include the launch of the DeepFlame Rocket software, which utilizes AI to simulate various physical processes, thereby reducing R&D costs and time [1] Group 2 - Beijing has developed the world's first AI research platform that integrates literature review, computation, experimentation, and multidisciplinary collaboration, known as the Bohr Research Space Station [2] - The city is fostering innovative companies such as DeepSense Technology and Baitu Biotechnology, focusing on applications in basic scientific research, healthcare, and industrial intelligence [2] - Future plans include establishing a specialized working mechanism for AI, launching major project clusters, and enhancing investment in AI industry funds to create a competitive industrial cluster [2]

Group 1 - The core viewpoint of the news is the official release of the "Beijing Action Plan for Accelerating AI Empowerment in Scientific Research for High-Quality Development (2025-2027)", marking a strategic roadmap for AI for Science in Beijing and the first local policy in China focused on this area [1] - AI for Science is recognized globally as a new paradigm to accelerate scientific research, with Beijing positioning itself as a leader in this field by establishing the Beijing Academy of Scientific Intelligence in 2021 [2][6] - The Action Plan aims to integrate AI with scientific research, focusing on breakthroughs in fundamental theories and interdisciplinary collaboration, with goals to build at least 10 high-quality scientific databases and serve over 10 million users by 2027 [3] Group 2 - The Beijing Municipal Development and Reform Commission plans to enhance the overall planning and systematic layout of scientific intelligence, targeting key disciplines such as materials and life sciences to develop specialized models [4] - The Beijing Economic and Information Technology Bureau emphasizes the importance of AI in accelerating scientific innovation across various sectors, including biomedicine and new materials, while acknowledging existing challenges in the industrial application of scientific intelligence [5] - The Haidian District aims to strengthen the foundation for scientific intelligence development by supporting advanced research elements and creating a comprehensive support system for scientific innovation [6] Group 3 - Significant achievements in the field of AI for Science include the "Bohler Research Space Station," which integrates literature review, computation, and experimentation, currently utilized by over 900,000 users across more than 40 universities and companies [7] - The "DPA Large Atom Model," developed by over 30 organizations, aims to enhance the understanding of atomic interactions, achieving world-leading stability and predictive performance while reducing data computation costs by 90% [8] - The "Uni-Lab-OS" intelligent laboratory operating system transforms traditional labs into autonomous "AI scientists," improving efficiency and data sharing among instruments [9] - The "DeepFlame" software enables comprehensive numerical simulations of rocket engines, significantly reducing development costs and time by allowing for virtual testing of extreme conditions [10]