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 World Artificial Intelligence Conference in Shanghai highlighted the launch of the "Xinghe Qizhi Scientific Intelligence Open Platform" and the "Early Chinese Civilization Multimodal Model," showcasing advancements in scientific intelligence and AI integration [1][2]. Group 1: Scientific Intelligence 2.0 - The transition to Scientific Intelligence 2.0 emphasizes a scientist-centric approach, moving from AI empowering science to a model where scientists lead the integration of AI in research [1][2]. - The "Xinghe Qizhi" platform serves as a bridge connecting scientists with AI, facilitating their participation in scientific advancements [2]. Group 2: Platform Features - The platform offers a comprehensive solution encompassing data, models, computing power, experimental validation, and collaborative research communities, aggregating over 40,000 datasets totaling 12PB of high-value scientific data [2]. - It features a "Universal Model Warehouse" with over 200 advanced models, significantly lowering the barriers for scientists to utilize AI [2]. Group 3: Computational Efficiency - The platform's intelligent computing system optimizes the integration of GPU and CPU resources, enhancing computational efficiency and providing acceleration of several times to up to a thousand times for specific research scenarios [2]. Group 4: Data Ecosystem and Collaboration - Utilizing blockchain technology, the platform establishes a trusted scientific data ecosystem, addressing data ownership and contribution calculation issues, and incentivizing data sharing through a points system [4]. - The platform aims to integrate dry and wet experiments, facilitating seamless connections between AI simulations and real-world experiments, promoting collaboration among scientists, laboratories, and enterprises [4]. Group 5: Cultural and Historical Research - The "Early Chinese Civilization Multimodal Model" is the first AI model focused on early Chinese civilization, developed collaboratively by Fudan University and other institutions, integrating vast historical materials [4]. - This model incorporates humanities research methodologies, enabling comprehensive analysis and traceable evidence for complex and controversial questions, serving as a powerful tool for researchers [4][5]. Group 6: Vision for the Future - The conference illustrated Shanghai's unique advantages in combining top-tier university resources with AI engineering capabilities to tackle significant scientific and cultural challenges [7]. - The ongoing development of scientific intelligence aims to create inclusive and collaborative global scientific knowledge ecosystems, making scientific exploration accessible to a broader audience [7].

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]