Core Viewpoint - China is accelerating its journey towards becoming a technology powerhouse, with significant advancements in various scientific and technological fields during the "14th Five-Year Plan" period [1]. Group 1: Technological Innovations - Major achievements include the operation of the world's first fourth-generation nuclear power plant, the successful return of the Chang'e 6 lunar mission, and the completion of the Chinese space station [1]. - In deep space exploration, the Chang'e 6 mission revealed volcanic activity on the moon's far side dating back 2.8 billion years [3]. - In quantum technology, China achieved a world record by preparing and verifying a cluster state of 51 superconducting qubits, surpassing all other quantum systems [3]. - The number of China's hot research papers continues to grow, maintaining the top global ranking as of July 2024 [3]. Group 2: Economic Impact of Innovation - R&D investment in China reached a new high, with a nearly 50% increase compared to the end of the "13th Five-Year Plan," amounting to an additional 1.2 trillion yuan [6]. - The "new economy" represented by "Artificial Intelligence+" generated over 24 trillion yuan in added value in 2024, equivalent to the combined GDP of Beijing, Shanghai, and Guangdong [6]. Group 3: Challenges and Strategic Responses - Despite significant progress, challenges remain in integrating the innovation chain with the industrial chain, and improving the efficiency of converting innovation results into productive forces [9]. - The Chinese government has issued important policies to promote the application of artificial intelligence, signaling a commitment to addressing uncertainties in technology and external environments [9]. - The transition of labor skills is increasingly pressing, necessitating a focus on releasing innovation energy where it is most needed [9].

Group 1 - The core viewpoint emphasizes China's significant advancements in technology and innovation during the "14th Five-Year Plan" period, showcasing numerous groundbreaking achievements in various fields [1][2][3] - China's focus on foundational research has led to major breakthroughs, such as the successful return of lunar samples by Chang'e 6 and advancements in quantum technology, indicating a strong commitment to high-level scientific independence [2][3] - The integration of technology and industry is accelerating, with a notable increase in R&D investment, which has grown nearly 50% compared to the end of the "13th Five-Year Plan," amounting to an additional 1.2 trillion yuan [4][5] Group 2 - The launch of the first commercial version of a domestic operating system based on the 6.6 kernel marks a significant step in supporting AI applications and digital transformation across industries [4] - The "New Economy" sector, represented by "Artificial Intelligence +," has seen its added value exceed 24 trillion yuan in 2024, equivalent to the combined GDP of Beijing, Shanghai, and Guangdong [4] - The recent World Artificial Intelligence Conference highlighted the transformative impact of AI on scientific methodologies, with new models being developed to enhance researchers' creativity [5][6] Group 3 - Challenges remain in the integration of innovation and industry, with a need to improve the efficiency of converting innovative results into productive forces and addressing the skills transition of the workforce [6] - The Chinese government has issued important directives to promote the development of AI applications, signaling a commitment to navigating the uncertainties posed by rapid technological changes [6] - China's transition from a major technological power to a strong technological nation is supported by a solid foundation, with an emphasis on maintaining confidence in innovation and striving for global technological leadership [6]

Group 1 - The core viewpoint emphasizes China's significant advancements in technology and innovation during the "14th Five-Year Plan" period, showcasing numerous groundbreaking achievements in various fields [1][2][3] - China's focus on foundational research has led to major breakthroughs, such as the successful return of samples from the Chang'e 6 mission and advancements in quantum technology, indicating a strong commitment to scientific exploration [2][3] - The integration of technology and industry is accelerating, with a notable increase in R&D investment, which has grown nearly 50% compared to the end of the "13th Five-Year Plan," reaching an additional 1.2 trillion yuan [4] Group 2 - The launch of the first commercial version of a domestic operating system based on the 6.6 kernel marks a significant step in supporting AI applications and digital transformation across industries [4] - The "New Economy" sector, represented by "Artificial Intelligence +," is rapidly developing, with its added value exceeding 24 trillion yuan in 2024, equivalent to the combined GDP of Beijing, Shanghai, and Guangdong [4] - The need for innovation to address existing challenges is highlighted, with a focus on enhancing the efficiency of converting innovative results into productive forces and addressing the skills transition of the workforce [6]

Group 1 - China's innovation has reached unprecedented importance during the 14th Five-Year Plan, with significant achievements in various sectors, including space exploration and quantum technology [1][2] - The successful return of samples from the Chang'e 6 mission reveals volcanic activity on the moon's far side, showcasing advancements in deep space exploration [1] - The number of China's hot research papers continues to grow, maintaining the world's leading position as of July 2024 [1] Group 2 - The release of a commercial version of a desktop and server operating system based on the 6.6 kernel marks a significant step in the integration of technology and industry, providing a new foundation for AI applications and digital transformation [2] - R&D investment in China has reached a new high, with a nearly 50% increase compared to the end of the 13th Five-Year Plan, amounting to an additional 1.2 trillion yuan [2] Group 3 - The "New Three" economy, represented by new industries, new business formats, and new models, is accelerating, with a total value exceeding 24 trillion yuan in 2024 [3] - The World Artificial Intelligence Conference highlighted the transformative impact of AI on scientific methodologies, with new models being developed to enhance researchers' creativity [3] Group 4 - The State Council's recent implementation of the "Artificial Intelligence+" action plan signals a commitment to advancing AI applications amid rapidly changing technological and external environments [4] - China's transition from a major technological power to a strong technological nation is supported by a solid foundation, emphasizing the need for innovation confidence and contributions to global scientific progress [4]

Core Viewpoint - The article introduces a new "neuro-symbolic" hybrid planner developed by the Chinese Academy of Sciences, which significantly enhances the efficiency and precision of scientific research planning compared to traditional methods [1][5]. Group 1: Mechanism and Features - The hybrid planner integrates the advantages of both neural planning systems and symbolic planning systems, leading to improved expressiveness, adaptability, generalization, and interpretability [3][11]. - It employs a closed-loop feedback mechanism inspired by human motor learning, enhancing the planner's ability to detect and correct errors dynamically [10][6]. - The system features a self-control mechanism that allows the planner to determine when to receive feedback, optimizing the frequency of feedback and reducing dependency on it [18][21]. Group 2: Performance Evaluation - The hybrid planner was evaluated against eight representative planning tasks in the International Planning Competition (IPC), showing an average coverage rate of 70.81%, which is significantly higher than other comparative planners [23][25]. - In a comparison with OpenAI's o1 model on the PlanBench dataset, the hybrid planner achieved 100% coverage and significantly reduced average planning time, demonstrating its superior efficiency and effectiveness [26][25].

Core Insights - The "AI Scientist Agent Platform" has been officially launched, aiming to create an accessible research assistant for scientists [1][2]. Group 1: AI Scientist Agent Platform - The platform is developed based on the "Panshi Scientific Foundation Model" by the Chinese Academy of Sciences, focusing on literature research, scientific reading, and frontier tracking [1][2]. - It features capabilities such as scientific literature extraction, knowledge representation, reasoning, and tool orchestration, making it a multi-disciplinary intelligent research assistant [2]. - The platform utilizes over 200 million real-time updated scientific literature resources to identify cutting-edge results and generate multi-dimensional research reports [2]. Group 2: Applications in Research - The AI Scientist Agent is applicable across various user groups, including universities, research institutes, and technology companies, providing targeted intelligent support for different research stages [3]. - For university faculty and students, it assists in course teaching, topic selection, literature research, and writing, significantly enhancing research training efficiency and quality [3]. - For technology company R&D teams, it accelerates technology foresight research, patent analysis, and interdisciplinary data integration, improving R&D and decision-making efficiency [3]. Group 3: Decision Intelligence Operating System (DIOS) - The DIOS decision intelligence operating system was also launched, aiming to integrate the entire chain from computing power, data, models, to decision applications [4]. - It provides a comprehensive AI service chain, significantly reducing deployment costs and time while ensuring safety and reliability [4]. - The platform combines the "Panshi Scientific Foundation Model" with a self-developed decision model, supporting intelligent applications across multiple industries [4].

Group 1: AI Innovations in Production and Daily Life - AI is leading a new technological revolution, enhancing productivity and creativity in various fields, such as video generation and 3D modeling [2][3] - The "Keling AI" platform allows users to create videos from text inputs, significantly improving creative efficiency and freeing up creators' productivity [3] - Smart glasses showcased at the conference enable users to interact and place orders in different languages, demonstrating practical applications of AI in everyday scenarios [5] Group 2: AI's Impact on Scientific Research - AI is reshaping the foundational logic of scientific research, accelerating discoveries and providing new opportunities to solve significant scientific challenges [6] - Notable advancements include AI's ability to predict protein folding structures and assist in various scientific fields such as quantum computing and cancer detection [6][7] - The "Panshi Scientific Foundation Model," developed by the Chinese Academy of Sciences, aims to enhance scientific tasks through deep understanding of scientific data and literature [6][7] Group 3: Global Cooperation and Governance in AI - The development of AI is recognized as a global issue that requires collaborative governance and innovation to maximize its benefits across industries [8] - The "Global Governance Action Plan for Artificial Intelligence" was introduced, emphasizing the need for cooperation in AI innovation, safety governance, and equitable development [8] - China is actively working to bridge the intelligence gap and promote shared benefits through AI applications in education, agriculture, and healthcare across various regions [9]

Core Insights - China has released 1,509 large models, leading globally with 3,755 total large models published, indicating a rapid advancement in foundational large models and potential breakthroughs in AI technology [1][11] - The "Panshi Scientific Foundation Large Model," developed by a team from the Chinese Academy of Sciences, was officially launched, showcasing capabilities in scientific data understanding and support for scientific tasks [1][3] - The AI conference featured over 3,000 cutting-edge exhibits, including more than 40 large models, highlighting the accelerated application of foundational large models across various sectors such as healthcare, consumer goods, and education [5][11] Industry Developments - The rapid evolution of large models is evident in the education sector, with applications like a scanning pen that provides correct answers and step-by-step explanations, enhancing user interaction [7] - Open-source has become a preferred option for many large model products, with numerous companies debuting their latest models at the AI conference [9] - The global AI industry comprises over 35,000 companies, with more than 5,100 in China, representing approximately 15% of the global market, indicating a growing industrial scale and a favorable development landscape for AI in China [11]

Core Insights - The "Panshi Scientific Foundation Model" was officially launched on July 26, 2025, aiming to provide robust intelligent support for technological innovation across various fields, leveraging AI to reshape scientific research paradigms [4][11] - The model addresses challenges in the current "AI + Science" research landscape, such as data silos and insufficient reasoning capabilities, by promoting a platform-based and systematic transformation [5][11] Group 1: Model Capabilities - The "Panshi Scientific Foundation Model" is trained on specialized scientific knowledge and data, enabling deep understanding of various scientific modalities, including waves, spectra, and fields [4][7] - It features a heterogeneous mixed expert architecture, integrating proprietary models tailored for common scientific data modalities, and has achieved top performance in international datasets across mathematics, physics, chemistry, materials, and biology [7][9] Group 2: Applications and Efficiency - The model has been applied in multiple disciplines, significantly accelerating research processes, such as achieving over 10 times faster efficiency in drug target discovery in life sciences [9][10] - It supports the automation of particle physics research tasks and enhances the efficiency of high-speed train model calculations in fluid environments [9][10] Group 3: Tools and Ecosystem - The "Panshi Literature Compass" assists researchers in literature review and evaluation, processing 170 million scientific documents and reducing research time from days to minutes [8][11] - The "Panshi Tool Scheduling Platform" allows for the autonomous planning and invocation of over 300 scientific computing tools, improving research workflow efficiency [8][11] Group 4: Collaborative Initiatives - The Chinese Academy of Sciences has initiated the "Scientific Foundation Model Ecological Alliance" plan, collaborating with over 40 research institutions, universities, and enterprises to foster a new ecosystem for "AI + Science" [11]

"为了解决这些难题，中国科学院系统内多家研究所组成研发团队，开展体系化研究，推动'AI+科 学'研究向平台化、体系化转变，成功打造了磐石·科学基础大模型。"中国科学院科技基础能力局副局 长、中国科学院自动化研究所副所长曾大军介绍，该模型就像一个跨学科的"智能操作系统"，可统一管 理数据和模型等资源，调度计算仿真等各类工具，深度赋能"假设提出—方案规划—仿真推演—实验验 证—规律发现"的科研全流程。 "AI+科学"成为新趋势，为解决重大科技难题带来了前所未有的机遇。7月26日，在2025世界人工 智能大会上，中国科学院正式发布磐石·科学基础大模型。该模型是一个专门为科研打造的智能平台， 由专业科学知识和数据训练而成，能深入理解波、谱、场等各种科学数据，并具备深度文献分析、科学 知识推理和科研工具编排能力。 "AI+科学"研究常用两种方式：用专业数据微调通用模型，或自建单一领域专用工具。这带来了科 学数据不互通、专业推理能力不够以及研发生态封闭三大难题。 "目前，磐石·科学基础大模型已经在多个学科领域进行了深入应用，大幅加速了科研进程。"曾大 军举例说，在高能物理领域，北京正负电子对撞机的研究人员依托磐石·科学基 ...