上下楼就是上下游 "以前拜访合作伙伴都要跨越很远的路程。如今在张江AI小镇，我一个星期内就见了8拨合作伙伴。"模力社区首批入驻企业极豆科技CEO汪奕菲在接受证券时报记者 采访时表示，当新想法、新技术涌现时，可以第一时间和产业伙伴面对面沟通，从而加速产品迭代效率。 对于蓬勃发展的人工智能产业而言，技术如何与实际需求接轨并找到应用场景，始终是一大痛点。在模力社区，通过产业集聚和生态赋能，"上下楼就是上下游"成 为了企业经营的日常，一张紧密的产业链协作网络已编织起来。 记者实探。 在上海浦东张江，有一片约1平方公里的土地，汇聚了人工智能企业成长壮大需要的各种养料：国内首个"5G+AI"全场景商用示范园区——张江人工智能岛、"让创 业者服务创业者"的产业生态圈载体——模力社区、股权投资的枢纽和高地——上海科技投资大厦……这些产业载体，组成了近日亮相的张江AI小镇。 张江AI小镇繁荣的背后，是浦东新区致力于将人工智能打造成世界级产业集群的雄心。记者在调研中发现，以张江AI小镇为代表的浦东新区人工智能产业，重点发 力于"要素支撑、融合赋能"，正加速赋能应用。浦东所拥有的高端制造、生物医药、金融科技等产业矩阵，正是垂类大模 ...

今年的世界人工智能大会（WAIC）可谓热闹非凡，据说有的展台甚至一度拥挤到工作人员都难以进入。 在出圈的众多机器人和终端产品之外，另一个领域也值得我们关注：科学智能（AI for Science，AI4S）。 机器之心报道 编辑：+0 在本届大会上，科学智能的战略地位被提到了新高度，作为十大核心方向之一，拥有专属论坛和多个交叉议题。这并非偶然，自从 AlphaFold 用惊人的效 率解决了困扰生物学界很长时间的难题， 科学智能 就已经证明，它不是未来的幻想，而是正在重塑科学根基的现实力量。 由复旦大学与上海科学智能研究院（上智院）联合主办的「星河启智·科学智能开放合作论坛」，为观察这一领域的变革趋势提供了一个窗口。 金力院士的呼吁描绘了「做什么」的宏大蓝图，而复旦大学特聘教授、上智院院长、无限光年创始人漆远则给出了「怎么做」的具体路径， 他在 星河启智 科学智能开放平台发布环节 的技术演讲中将 科学智能 的当前进展定义为 「科学智能 2.0 时代」：一个以领域科学家为中心，让 AI 进化为能理解科学家意 图、默契协作的「合作伙伴」的时代。 当强大的算力、前沿算法与具体的科学需求交织，未来将走向何方？从「超级科 ...

Core Insights - The current stage of AI is characterized by rapid evolution, with a focus on the integration of large models, embodied intelligence, and scientific intelligence, forming a "knowledge flywheel" that could potentially surpass human learning capabilities in certain dimensions [1][2] - Despite advancements, AI development faces structural challenges such as computational power bottlenecks, data scarcity, and outdated evaluation metrics [1][2] Group 1: Challenges in AI Development - Data scarcity is a significant bottleneck for large models, limiting their growth despite attempts to expand multi-modal inputs and synthetic data generation [2][3] - The efficiency of AI systems is declining even as their intelligence levels improve, highlighting a need for a focus on the effective generation of tokens per unit energy consumption [2][3] - Current evaluation systems for AI models are prone to optimization for specific tasks, necessitating a shift towards dynamic, task-oriented assessments [2][3] Group 2: Originality and Causal Modeling - AI's limitations in natural sciences and mathematical modeling stem from its reliance on correlation rather than causal modeling, which is essential for scientific inquiry [3][5] - While some large models can understand causal language structures, their true comprehension of underlying causal logic remains uncertain [3][4] - The development of multi-modal large models is a new trend, raising questions about the need to move beyond token prediction to new paradigms like "world models" [3][4] Group 3: Future Directions and Breakthroughs - To achieve large-scale AI applications, overcoming energy efficiency bottlenecks is crucial, requiring real-time perception of physical environments and deep integration with sensors and actuators [8][9] - Two paths to enhance AI system performance include improving intelligence levels while maintaining energy efficiency and optimizing hardware-software collaboration [8][9] - The exponential growth in computational power requirements for large models poses a significant challenge, with training costs reaching approximately $10 billion and requiring 200,000 GPUs [8][9] - The potential of optical computing to enhance energy efficiency and communication bandwidth in distributed model training is highlighted, suggesting a shift towards low-precision model optimization [8][9] Group 4: New Paradigms in AI - A new paradigm proposed involves experience-driven AI, utilizing a large number of robots for intelligent collaboration in the physical world, which could surpass traditional large model training methods [9][10] - Future breakthroughs in AI will depend on advancements in both theoretical frameworks and system architectures [10]

智通财经7月28日电，上海市经济信息化委28日发布《上海市进一步扩大人工智能应用的若干措施》。 其中提出，完善产业投融资体系。发挥国家人工智能产业投资基金、市级人工智能先导产业母基金等引 导作用，联合区级投资基金、社会资本等投早、投小、投长期。支持优质企业发展风险投资基金，聚焦 算力、语料等关键要素，以及大模型、具身智能、科学智能等赛道，联合相关区级基金，推动设立专题 子基金。 上海：支持优质企业发展风险投资基金 聚焦算力、语料等关键要素 ...

上海，这座科技与自然交融的城市，再次迎来了全球瞩目的科技盛宴——世界人工智能大会。7月26日，随着夕阳余晖洒满黄浦 江两岸，世博中心内，星河启智·科学智能开放合作论坛正式拉开帷幕，汇聚了诺贝尔奖得主、图灵奖得主、两院院士、产业领 军人物及青年科研精英，共同探讨科学智能的最新进展与未来趋势。 论坛的重头戏之一，便是"星河启智科学智能开放平台"及"早期中华文明多模态大模型"的震撼发布。复旦大学特聘教授、上海 科学智能研究院院长漆远，以无限光年创始人的身份，阐述了将平台打造为开放协同科研"新基建"的愿景，旨在构建科学家主 导的全链路AI赋能体系，让各领域科学家站在科学智能的聚光灯下。 在数据流通与干湿实验闭环方面，"星河启智"同样展现出独到之处。平台利用区块链技术，构建了基于信任的科学数据生态， 解决了数据权属及贡献计算的问题。未来，数据贡献将转化为积分，兑换算力等资源，激励数据共享。平台还致力于打通干湿 实验，实现AI模拟预测与真实物理世界实验的无缝衔接，促进科学家、实验室与企业的深度合作。 "早期中华文明多模态大模型"的发布，是"星河启智"平台在人文科学领域的又一重要成果。这是全球首个聚焦早期中华文明的 AI大 ...

Core Insights - The WAIC2025 Star River Intelligent Open Cooperation Forum was held, focusing on building an open and collaborative scientific intelligence ecosystem [1] - Multiple innovative achievements were announced, including the Early Chinese Civilization Multimodal Large Model and the Global Academic Cooperation Initiative [1][3] Group 1: Early Chinese Civilization Multimodal Large Model - The Early Chinese Civilization Multimodal Large Model was officially released, developed by Fudan University, Shanghai Intelligent Research Institute, and Shanghai Chuangzhi Academy [3] - The model encompasses 100TB of specialized corpus, SFT data, and evaluation sets, pioneering cross-modal intelligent alignment of civilization spatiotemporal data [3] - It supports the Chinese Civilization AI Agent platform, enabling multi-step reasoning and complex task planning, benefiting education, research, and cultural industries [3] Group 2: Global Academic Cooperation Initiative - A global initiative was launched by top international scientists, including Nobel Prize winners, aiming to break the "data divide" and ensure AI benefits reach every corner of the globe [3] - The initiative outlines four core objectives: building open-source scientific infrastructure, initiating multinational interdisciplinary scientific programs, cultivating international scientific talent, and establishing a fair value-sharing mechanism [3][4] Group 3: Star River Intelligent Open Platform - The Star River Intelligent Open Platform was launched, designed to accelerate scientific discovery and provide comprehensive infrastructure for scientists and AI engineers [6] - It aims to enhance cross-disciplinary collaboration and address key scientific challenges, significantly speeding up scientific discoveries [6] - The platform includes the "Guanxin" large model, which formalizes complex clinical diagnosis processes into a multi-agent collaborative system for cardiovascular specialties [6] Group 4: Ethical Review AI Agent "Yijian" - The ethical review AI agent "Yijian" was introduced, capable of automatic rule review and risk labeling, enhancing review efficiency and compliance [7] - It has been trialed at Fudan University and its affiliated Zhongshan Hospital, ensuring data security and supporting the generation of review reports [7]

Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai showcased significant advancements in AI technology, emphasizing the importance of global governance and application of AI in various sectors [1][3][4]. Group 1: Event Overview - The WAIC 2025 featured a record exhibition area exceeding 70,000 square meters, with over 800 participating companies and more than 3,000 cutting-edge exhibits, including 40 large models and 60 intelligent robots [1][5]. - The event attracted over 1,200 guests from 30+ countries and regions, including 12 top international award winners and over 80 academicians [3][5]. Group 2: AI Safety and Governance - Geoffrey Hinton, a Nobel laureate, highlighted concerns regarding AI safety, urging international consensus to prevent AI from surpassing human control [3][4]. - Various forums during WAIC will address AI governance, including the release of the "Global AI Governance Rules Map" and the "China AI Safety Commitment Framework" [7]. Group 3: Industry Growth and Trends - The scale of WAIC has expanded significantly, with the number of exhibiting companies increasing from over 400 in 2023 to 800 in 2025, and the number of showcased AI models growing from over 30 to nearly 100 [5][6]. - The event serves as a platform for industry collaboration, with significant investment agreements signed in previous years, including 288 billion yuan in 2023 and an expected 400 billion yuan in 2024 [5]. Group 4: Technological Advancements - The focus of WAIC 2025 includes advancements in humanoid robots, with several companies moving towards mass production, significantly increasing output from last year [9][10]. - New AI hardware products were introduced, such as AI electronic pets, showcasing the diversity of AI applications [14]. Group 5: Commercialization of AI - The commercialization of AI is accelerating, with companies collaborating with mobile and automotive manufacturers to integrate AI models into devices [14][15]. - Several AI firms announced new products aimed at practical applications in sectors like finance and research, indicating a shift towards tangible AI solutions [16].

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai focuses on accelerating AI commercialization and global governance, showcasing over 800 companies and more than 3,000 cutting-edge exhibits [1][2][3] Group 1: Event Overview - WAIC 2025 features a record exhibition area exceeding 70,000 square meters, with participation from over 800 companies, showcasing over 40 large models, 50 AI terminal products, and 60 intelligent robots [1][3] - The event has seen significant growth in scale, with the number of exhibiting companies increasing from over 400 in 2023 to over 800 in 2025 [3] Group 2: Key Discussions and Participants - Notable discussions at WAIC include AI safety, led by Geoffrey Hinton, emphasizing the need for international consensus to prevent AI from surpassing human control [2] - The conference gathers 12 international award winners, over 80 academicians, and representatives from top global laboratories, with more than 1,200 attendees from 30+ countries [2] Group 3: AI Product Innovations - The focus on humanoid robots has intensified, with several companies moving towards mass production, aiming for annual outputs in the hundreds to thousands [5][6] - New AI hardware products, such as AI electronic pets, are being showcased to gauge user acceptance and feedback [7] Group 4: Commercialization of AI - The pace of AI commercialization is accelerating, with companies collaborating with mobile and automotive manufacturers to integrate edge models into devices [9][10] - Companies like Baidu and Infinite Light are launching new products aimed at applying AI in various sectors, including finance and research [10][11] Group 5: Open Source Trends - The trend of open-sourcing large models continues, with companies like Moonlight releasing models with significant parameter scales, enhancing accessibility and proving model capabilities [11]

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]

Core Viewpoint - The article discusses the "Action Plan" aimed at accelerating the integration of artificial intelligence (AI) into scientific research in Beijing, with a focus on developing high-quality scientific instruments and fostering innovation in various fields [2][4][7]. Group 1: Development Goals - By 2027, the plan aims to leverage Beijing's AI innovation advantages to establish new pathways for scientific research, focusing on foundational scientific issues and enhancing the application of AI across multiple fields [8]. - The initiative includes the construction of at least 10 high-quality scientific databases to support AI applications in various research areas, targeting over 10 million users [8]. Group 2: Key Tasks - The plan emphasizes critical technology breakthroughs, including foundational theoretical research in AI, the development of a universal scientific foundational model, and new generation scientific computing simulation software [9][10][11]. - Infrastructure development is a priority, with goals to create an open scientific data platform and a collaborative computing power platform to enhance research efficiency [12][13]. Group 3: Application Acceleration - The plan promotes the use of AI in basic scientific research, medical health innovation, and new materials development, aiming to enhance research efficiency and discovery processes [15][16][17]. - Specific focus is placed on empowering high-end scientific instruments through AI, encouraging collaboration between universities, research institutions, and enterprises to develop advanced scientific equipment [18]. Group 4: Innovation Ecosystem - The initiative aims to build a public service innovation platform for scientific intelligence, attract and cultivate innovative talent, and establish a multi-channel investment and financing service system [20][21][22]. - It also seeks to create a competitive scientific intelligence industry cluster and promote international cooperation and open-source ecosystems [23][24][25].