11月24日，XRMID 2025虚拟现实及元宇宙产业创新发展活动在中关村石景山区党群服务、创新服务双 中心成功举办。北京市科学技术协会创新服务中心副主任张永锋，北京市石景山区科学技术协会副主席 李崴，中关村数智人工智能产业联盟副秘书长牟帆参加活动，与来自高校、科研机构、企业界的百余位 嘉宾齐聚一堂，共话虚拟现实产业创新路径，共绘元宇宙发展蓝图。 活动伊始，牟帆阐述了虚拟现实技术在推动数字经济与产业转型升级中的核心引擎作用，中关村数智人 工智能产业联盟始终高度关注虚拟现实领域发展，牵头组建了"北京市虚拟现实科创协同联合体"以下简 称("联合体")，致力于推动虚拟现实产业加快形成新质生产力、实现高质量发展。他表示，未来联合体 将持续发挥桥梁纽带作用，携手各方构建开放协同的创新生态，为产业高质量发展注入强劲动力。 成果汇报环节，北京师范大学人工智能学院副教授黄石生、凌宇科技(北京)有限公司总经理张佳宁、无 人智境(北京)技术有限公司研发总监刘磊磊分别从《神经隐式实景三维技术及虚拟现实应用》、《AI与 云计算加持下的可穿戴硬件发展趋势分析》、《数字孪生驱动复合材料科研变革》主题展开分享，为现 场嘉宾带来了一场技术与 ...

Group 1 - The core viewpoint emphasizes that technological innovation is the primary driving force for development, and open cooperation is a crucial engine for technological progress [1] - The "Science and Innovation Pioneer" service brand is being developed to link domestic and international technological innovation resources, enhancing international scientific and technological exchanges to support high-quality economic development in Zhenjiang [1] Group 2 - The "Hai Zhi Plan" is being advanced to extend talent acquisition and intelligence to globally active innovation areas, with recent events showcasing collaboration with Singapore's Nanyang Technological University [2] - A project on "Low Carbon Green Fuel and Power Device Transformation" was presented, offering feasible carbon reduction pathways for the traditional energy sector [2] - The establishment of the Zhenjiang High-tech Zone Overseas Talent Workstation in Singapore marks a new phase of systematic cooperation, aimed at attracting high-level talent and quality scientific projects from Southeast Asia [2] Group 3 - The city is building high-level international academic exchange platforms, with recent activities involving experts from prestigious institutions like Imperial College London and the Max Planck Institute [3] - The "Science and Innovation Pioneer" initiative also extends to modern agriculture, facilitating international technological exchanges and creating a comprehensive cooperation platform for technology exchange, talent training, and demonstration promotion [3] Group 4 - In 2023, professionals from South Korea, Japan, and Cambodia visited Zhenjiang to engage in fruitful interactions regarding new fruit tree varieties and technologies [4] - The combination of "bringing in" and "going out" strategies in exchanges has contributed to the enhancement of the local fruit tree industry [4] - The achievements of the "Hai Zhi Plan" and the "Science and Innovation Pioneer" brand are reflected in the diverse collaborations across various sectors, including agriculture and basic research [4]

正元地理信息集团股份有限公司正元数科智慧园区与双碳事业部总经理李进强介绍的数字孪生技术试图 破解这个问题。"技术必须融入具体业务场景，智慧平台如果只能看不能控，只会加大操作人员的负 担。"他以水污染三级防控体系为例，介绍了该公司研发的数字孪生技术如何通过"找空间、定方案、抓 演练"整合碎片化数据、模拟污染扩散路径、评估应急池容量版并动态演练关阀、分流、导流。 匠人智慧（江苏）科技有限公司副总经理柏益尧对此表示认同，并进一步指出，数据要想"活"起来，就 必须与业务流深度结合。"如果通过AI大模型关联起企业生产数据、能源消耗、环保监测和视频图像， 系统就能自动识别出高风险作业、异常排放或设备故障，甚至生成诊断报告和处理建议。" 以"用"促"建" 多位专家指出，智慧园区在建设之初应当以运营效果为导向，反过来调整技术方案和系统设计。 近日举办的2025中国化工园区发展大会"智慧化工园区"专题会传递出鲜明共识：当前，我国化工园区智 慧化建设正从早期的平台搭建迈入技术、业务、生态深度融合期，面临数据整合困难、业务协同不足、 投入产出比难量化、缺乏可持续运营机制等共性问题。 专家表示，仅靠技术手段无法满足智慧园区建设需求， ...

Core Insights - The global nutrition crisis is a significant economic challenge, with over $8.1 trillion in annual economic losses attributed to malnutrition and diet-related diseases, affecting health systems and workforce quality [1][2][3] - Artificial Intelligence (AI) presents new opportunities to address these issues by providing personalized nutrition solutions and reducing the burden on healthcare systems [1][4][6] Economic Impact - Malnutrition leads to a loss of productivity exceeding $1 trillion, while obesity-related economic losses surpass $2 trillion annually [2] - The hidden costs of the global agricultural food system reach $12 trillion each year, with nearly 70% ($8.1 trillion) linked to unhealthy diets and chronic diseases [2] - By 2035, the economic impact of obesity alone is projected to reach $4.32 trillion, equivalent to 3% of global GDP [2] AI Innovations - AI technology can bridge the gaps in traditional interventions by analyzing individual genetics, lifestyle, and environmental data to offer personalized nutrition plans [4][6] - Examples of AI applications include Samsung's "Food+" app, which recognizes 40,000 ingredients and provides multilingual recipes, and digital twin technology from Twin Health for real-time blood sugar management [5][6] - The AI-driven nutrition market is expected to grow from $1.6 billion in 2022 to $3.66 billion in 2024, reaching $8.51 billion by 2028, driven by the rise in lifestyle diseases and technological advancements [6] Ethical Considerations - The implementation of AI in nutrition must adhere to ethical standards and be accessible to all, avoiding biases that could lead to health risks in diverse populations [7] - Data security is a critical concern, highlighted by incidents of unauthorized use of patient information, emphasizing the need for robust privacy measures [7] - Collaboration among governments, businesses, and international platforms is essential to establish ethical guidelines and develop affordable services to bridge the digital divide [7]

Group 1 - The event titled "Application of Digital Twin Technology in New Product Development" was held at Qirui Technology (Jiangsu) Co., Ltd., with participation from local science and technology associations and technical leaders from related enterprises [2] - The Vice Chairman of the Zhenjiang Science and Technology Association emphasized the importance of promoting international scientific and technological exchanges and cooperation to enhance the integration of industry, academia, and research [4] - The event featured discussions on automation innovation and intelligent energy-saving standardization, with presentations from Japanese experts on cost competitiveness, AI applications in manufacturing, and energy-saving solutions [6] Group 2 - The international exchange aimed to stimulate the innovative role of enterprises, promote technological transformation and upgrading, and enhance core competitiveness [8]

Core Viewpoint - The emergence of new productive forces driven by technological breakthroughs is essential for promoting high-quality green development, emphasizing the harmony between humans and nature [1][2]. Group 1: Green Technological Innovation - New productive forces are characterized by a focus on green production, integrating advanced technologies like IoT, big data, cloud computing, and blockchain to enhance ecological value and drive green technological innovation [2][3]. - The development of new productive forces supports the establishment of a green innovation chain, facilitating the transformation of low-carbon and zero-carbon technologies [2][3]. - Emphasis on digital empowerment and ecological information systems is crucial for promoting green low-carbon technologies and improving environmental monitoring [2][3]. Group 2: Green Low-Carbon Transformation of Production Methods - New productive forces prioritize ecological value, asserting that protecting the environment equates to protecting productivity, and improving the environment contributes to productivity growth [4][5]. - The transition from traditional non-renewable energy to clean renewable energy is essential, requiring the development of a clean, low-carbon, and efficient energy system [4][5]. - The integration of digitalization and green practices is necessary for upgrading traditional production methods and enhancing energy efficiency [5][6]. Group 3: Building a Green Industrial System - The transformation of traditional industries towards green low-carbon practices is facilitated by advancements in digital and low-carbon technologies, which help eliminate outdated capacities [6][7]. - The cultivation of emerging green industries is supported by cutting-edge technologies focused on energy conservation and emission reduction, promoting sectors like new materials, renewable energy, and high-end manufacturing [6][7]. - A strategic layout for green industrial chains is essential, ensuring resilience and security in the supply chain while promoting the greenization of the entire product lifecycle [7].

Core Viewpoint - The integration of new digital technologies, particularly artificial intelligence, is accelerating innovation and supporting the green transformation necessary for achieving carbon peak and carbon neutrality goals in China [1][2]. Group 1: ESG and Economic Transition - China's economy has shifted from high-speed growth to high-quality development, making ESG a critical issue for Chinese enterprises [2]. - There is a historical opportunity for companies to transform compliance costs into sustainable competitive advantages, although structural challenges remain [2]. Group 2: Technological Integration in ESG - The integration of technologies such as artificial intelligence, blockchain, and the Internet of Things is addressing issues related to the fragmentation, lag, and credibility of traditional ESG data collection [2]. - Digital twin technology can simulate and optimize energy consumption, logistics, and assets in a virtual space, contributing to carbon reduction and efficiency [2]. Group 3: Internationalization of ESG Standards - There are differences between international ESG standards and Chinese standards due to varying development stages and regulatory frameworks, which necessitates the promotion of "Chinese solutions" globally [4]. - The fusion of digital technologies with the TIC industry is at a critical stage, focusing on sectors like automotive and new energy to enhance China's participation in global ESG governance [4]. Group 4: Building ESG Support Systems - There is a need to establish an international ESG support system for Chinese enterprises to enhance their voice in global sustainable development agendas [4]. - Emphasis on top-level design and collaboration in ESG initiatives is crucial for building a systematic approach to ESG capabilities within enterprises [4].

Core Viewpoint - The company, Jingwei Co., has highlighted its capabilities in geographic information technology and digital twin technology, specifically in the underground pipeline sector [2] Group 1: Technology Applications - The company's geographic information technology can be applied to spatial geographic information services for underground pipeline networks [2] - Digital twin technology is utilized for spatial simulation and the development of application systems [2] - The company focuses on building a digital twin foundation for various applications [2]

Core Insights - The shipping industry is facing significant uncertainties, including energy structure adjustments, climate change challenges, and supply chain restructuring, with digitalization and intelligence becoming key solutions for development [1] Group 1: Digital Transformation in Shipping - The transformation towards digital intelligence in the shipping industry is a new trend and a strategic focus for the high-quality construction of the Shanghai International Shipping Center [1] - Global shipping giants are actively promoting digital technology development, with companies like Maersk exploring autonomous driving technology and supply chain efficiency improvements [3] - In China, state policies have supported the development of intelligent shipping since the 13th Five-Year Plan, with companies like COSCO Shipping Group and China Merchants Group implementing digital technology applications [3] Group 2: Technological Advancements in Shanghai - Shanghai is advancing its port and shipping digital transformation, with the Yangshan Deep-Water Port Phase IV automation terminal utilizing 5G and AI technology, achieving a 30% increase in container loading and unloading efficiency [4] - The establishment of blockchain infrastructure for shipping hubs has been completed, with electronic bills of lading and multi-modal transport services now operational [4] Group 3: Challenges in Digitalization - The shipping industry's digitalization faces challenges such as the need for unified standards, data accessibility, and sufficient collaboration among stakeholders [5] - Differences in smart ship technology standards between countries and data sharing barriers are significant obstacles to the industrialization of new digital technologies in shipping [5][6] - A public framework with standardized data rules and government principles is necessary to ensure interoperability among platforms, ports, and vessels [6]

Conference Background - The International Maritime Organization (IMO) approved amendments to MARPOL Annex VI, establishing a framework for mandatory emissions limits and greenhouse gas pricing in the shipping industry, aiming for net-zero carbon emissions by 2050 [3] - The "Green Shipping 2025" conference will take place on October 23, 2025, in Shanghai, focusing on the maritime industry's green decarbonization transition and strategies for adapting to market changes [3] Organizational Structure - The conference is organized by Jiangxin Maritime and co-hosted by the International Shipbuilding and Offshore Network [3] Key Topics Analysis - Global green shipping trends overview, providing insights into future shipping development and investment directions [9] - Interpretation of international shipping carbon emission policies and regulations, offering authoritative analysis of compliance requirements and potential impacts [10] - Latest advancements in shipping emission reduction technologies, including dual-fuel engines and hydrogen fuel applications [11] - Evaluation of wind-assisted propulsion technology's potential and economic benefits [12] - Discussion on the role of digital intelligence in optimizing green shipping routes and reducing emissions through data-driven strategies [15][16] Practical Pathways and Challenges - Sharing experiences on cross-industry collaboration to promote low-carbon transformation in the shipping sector [19] - Exploration of zero-carbon vessel development roadmaps, including design concepts and commercialization timelines [21] - Insights from shipowners on challenges and strategies in green shipping, focusing on investment decisions and compliance pressures [23]