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达索系统:中国首个开放创新实验室启用
Jing Ji Wang· 2025-07-30 08:04
7月29日,达索系统在沪宣布,其位于浦东新区的3DEXPERIENCE Lab正式启用,"达索析统(上 海)创业孵化器管理有限公司"也同时成立。 达索系统大中华区总裁张鹰表示:"作为工业AI领域的领军者,达索系统对中国市场始终保持坚定 信心。上海3DEXPERIENCE Lab的启用和达索析统(上海)创业孵化器管理有限公司的成立,是我们 深耕中国二十年的又一重要里程碑。我们希望携手本地合作伙伴,加速技术落地、生态构建和人才培 养,推动数字技术与产业深度融合。达索系统将持续加大本地化投入,拓展开放协同的创新边界,助力 中国工业迈向高端化、智能化、绿色化,与中国创新力量共塑产业未来。" 编辑:宋杰 据介绍,上海3DEXPERIENCE Lab将围绕先进制造、新材料、绿色基建、生命科学等关键领域, 依托达索系统3DEXPERIENCE平台,联动初创企业、高校科研院所与行业客户,共同构建"产-学-研"融 合的创新加速机制,推动从理念验证到产业化落地的全过程加速,巩固达索系统在中国及亚太地区的技 术创新与生态协同。 未来,上海 3DEXPERIENCE Lab和达索析统(上海)创业孵化器管理有限公司将聚焦高潜力的入 选 ...
专访西门子全球执行副总裁肖松:中国是孵化工业智能体的热土
2 1 Shi Ji Jing Ji Bao Dao· 2025-07-30 02:24
21世纪经济报道记者吴斌上海报道 "AI正在化想象力为生产力,未来每个人都能创造出TA所能想到的任何产品!"在2024世界人工智能大 会(WAIC)上,西门子全球执行副总裁、西门子中国董事长、总裁兼首席执行官肖松曾畅想工业AI 的 未来。 短短一年后,在2025 WAIC上,肖松在发表主旨演讲时感概:"这一天会比预想的更早到来。"他接受21 世纪经济报道记者专访时表示,本届WAIC展现了人工智能从"技术热"走向"应用深"的强劲趋势,越来 越多关注点落在AI如何赋能实体经济,助力制造业转型升级。 在肖松看来,工业AI的时代窗口已经打开。工业的"底层操作系统"正在被基础模型和智能体重新书写, 它也许不像消费级AI那样占据热搜,却以低调而强大的方式,孕育着一场意义深远、气势磅礴的产业 革命。 展望未来,肖松对记者表示,工业AI是中国实现从"制造大国"迈向"智能制造强国"的关键引擎,中国是 工业AI最具活力的应用场景,是孵化工业智能体的热土,拥有"广度""深度""高度"。未来谁能把AI真正 用起来、跑通场景、产生实效、创造价值,谁就能把握住新质生产力的主动权。 从"技术热"走向"应用深" 肖松:和消费级AI一样,工业 ...
西门子肖松:以AI为钥推动工业生产力蝶变跃迁
Ren Min Wang· 2025-07-30 01:54
近期,在上海举行的世界人工智能大会上,"工业+AI"的突破性进展引发关注。当生成式AI浪潮将各行 各业推向"倍速模式",工业领域正以更深沉的变革姿态,书写着生产力跃迁的新篇章。 西门子全球执行副总裁,西门子(中国)有限公司董事长、总裁兼首席执行官肖松 工业世界的高复杂度与低容错率,注定了工业AI的发展不能复制依赖消费级AI的演变路径。温度、压 力、振动、转速等数值变化,三维模型、二维图纸等技术信息,潜藏在生产流程中的物理规则与系统逻 辑,都要求工业AI必须构建一个精通"工业话语体系"的"工科大脑"。 作者:肖松,西门子全球执行副总裁,西门子(中国)有限公司董事长、总裁兼首席执行官 如果说基础模型聚焦的是工业AI的"广度",那么智能体的崛起则打开了产业价值的"深度"空间。中国拥 有全球最完整的工业体系和丰富的应用场景,这为智能体的迭代提供了天然试验场。从汽车制造到生物 医药,从能源化工到高端装备,当大大小小的工业智能体各展所长又协同作战,当数字技术与实体经济 在生产全链条深度耦合,将推动"工业+AI"的化学反应持续释放,产业效率与质量实现质变飞跃。 工业AI的终极意义,正在于构建"人与AI互融共生"的新范式。这 ...
工业AI迈向“知行合一”具身智能重构制造边界
Zhong Guo Zheng Quan Bao· 2025-07-28 21:05
Core Insights - The article highlights the transition of industrial AI from cognitive capabilities to autonomous execution, exemplified by the operation of unmanned excavators at the 2025 World Artificial Intelligence Conference (WAIC) [1][2][3] Group 1: Industrial AI Development - Industrial AI is undergoing a significant transformation, showcasing high autonomy and efficiency in complex tasks, such as loading operations in harsh environments [1][2] - The emergence of "Lingju," a model developed by NetEase for unmanned excavators, demonstrates the shift towards end-to-end integrated models that enhance performance and adaptability [2][4] - The collaboration of multiple intelligent agents in industrial settings is redefining production efficiency and flexibility, reducing operation times from hours to minutes [3][5] Group 2: Technological Innovation and Ecosystem - The rise of industrial AI in China is supported by self-innovated foundational technologies, emphasizing the importance of security and stability in the supply chain [3][4] - NetEase's "Lingju" is built on a domestically developed framework, ensuring technological safety and supply chain reliability [4] - Initiatives like the "2027 Industry Collaboration Plan" aim to achieve unmanned operations in over 30 mines by 2027, showcasing a commitment to technological diffusion and ecosystem collaboration [4][5] Group 3: Future of Industrial AI - The concept of a "universal team" of industrial AI agents is emerging, with each agent specializing in different tasks while collaborating to solve complex challenges [5] - The potential for industrial AI to expand into various sectors, including agriculture and smart manufacturing, indicates a redefinition of traditional industry boundaries [5] - The deep integration of AI with the real economy is seen as a key pathway for developing new productive forces [5]
西门子:以深厚的AI布局引领工业AI迈向新高度
Ren Min Wang· 2025-07-28 08:14
Group 1 - The 2025 World Artificial Intelligence Conference (WAIC 2025) will be held in Shanghai from July 26 to 28, showcasing Siemens' commitment to integrating generative AI technology into industrial scenarios, focusing on "Industrial Foundation Models" and "Industrial Intelligent Agents" [1] - Siemens presented its full value chain AI innovations and the latest Industrial Copilot intelligent agent system, demonstrating multiple "AI+" scenarios across manufacturing, energy, and building sectors [1] - Siemens' Global Executive Vice President, CEO of Siemens China, Xiaosong, emphasized that the era of industrial AI has begun, with China's diverse industrial system becoming a vibrant application scene for AI, driving a new wave of productivity leap [1] Group 2 - Siemens is accelerating the development of the foundational elements of AI, specifically the Industrial Foundation Model, aimed at the industrial world [2] - The company has been actively investing in the industrial AI sector, planning to establish a complete industrial AI ecosystem through strategic acquisitions and partnerships by 2025 [2] - Siemens aims to empower industry chain partners and customers to explore the limitless possibilities of industrial AI [2]
智无界·慧共生 2025智博会在苏州开幕
Zhong Guo Jin Rong Xin Xi Wang· 2025-07-28 07:09
Core Insights - The 2025 AI Product Application Expo, themed "Intelligence Without Boundaries, Wisdom in Coexistence," commenced in Suzhou, focusing on various industry hotspots such as embodied intelligence, digital transformation, and industrial AI [1][3] Group 1: Event Overview - The expo lasts for three days and includes keynote speeches, thematic forums, exhibitions, product launches, and supply-demand matching activities, aiming to foster industry communication and innovation collaboration [1] - A series of authoritative reports were released, including the "Annual Report on the Development of New Generation Artificial Intelligence (2024-2025)" and the "Artificial Intelligence Industry Investment Trends and Development Report," highlighting the current state and future challenges of AI development [3] Group 2: Talent and Innovation - The event recognized the 2025 AI Technology Leading Talent Project, which has introduced and nurtured 3,862 leading talents in Suzhou Industrial Park since 2007, contributing to the establishment of 49 listed companies [3] - The expo also featured the third AI Product Application Innovation and Entrepreneurship Competition, attracting nearly 200 teams globally, and awarded the "Zu Chongzhi Award" for outstanding achievements in AI research and innovation [4] Group 3: Product Launches and Experiences - Over 20 significant new products were showcased, including innovations in embodied intelligence, low-altitude economy, smart healthcare, and intelligent manufacturing [4] - An immersive "Black Technology" experience area was set up, featuring over 200 cutting-edge products from more than 20 companies, providing interactive consumer experiences [4] Group 4: Knowledge Sharing and Collaboration - The expo introduced the "AI Lecture Hall," where industry elites and academic leaders shared knowledge and engaged in discussions on hot AI topics [5] - The event emphasized supply-demand matching through various specialized meetings, enhancing collaboration with the Shanghai World Artificial Intelligence Conference and promoting resource sharing in the Yangtze River Delta region [5] Group 5: Regional Development - Suzhou Industrial Park has positioned itself as a pioneer in AI and digital industries since 2017, establishing itself as a hub for AI innovation and application [5] - The park has focused on the integration of AI with the real economy, leading to the rapid emergence of a billion-level industrial cluster [5]
科创板开市6年“科技叙事”清晰
Shen Zhen Shang Bao· 2025-07-27 16:32
Group 1 - The "2025 China Sci-Tech Innovation Leaders Conference and the 6th Anniversary of the Sci-Tech Innovation Board" was held in Shanghai, focusing on themes of policy, technological innovation, and industrial development with over 80 leaders from listed companies and investors attending [1] - The Shanghai Stock Exchange's Deputy General Manager Wang Bo highlighted that the Sci-Tech Innovation Board has been dedicated to serving "hard technology" and has clarified the "technology narrative" logic in the capital market over the past six years [1] - Li Xunlei, Chief Economist at Zhongtai International, emphasized the need for the capital market to better allocate resources and guide "new productive forces" towards stronger entities [1] Group 2 - Chui Shan, Chairman and President of Zhongkong Technology, stated that the era of artificial intelligence is reshaping value creation, and the company has developed a "1+2+N" industrial AI-driven smart factory architecture to support the intelligentization of process industries [2] - Yu Dan, General Manager of Yicun Capital, noted three characteristics of the current merger and acquisition wave: a focus on finding second growth curves for listed companies, a buyer's market for valuations, and a pragmatic approach to cross-border acquisitions emphasizing supply chains and customer bases [2]
广域铭岛WAIC发布工业AI“双引擎”:Geega平台+超级智能体
Zheng Quan Shi Bao Wang· 2025-07-27 11:17
Core Insights - The World Artificial Intelligence Conference showcased Guangyu Mingdao's "Geega Industrial AI Application Platform + Industrial Intelligent Body," highlighting its capability to create "AI-native enterprises" [1] - The implementation of industrial AI faces challenges such as private data accessibility, disconnection between process knowledge and AI technology, and the need for deep integration with existing digital systems [1][2] - The Geega platform offers a comprehensive solution for smart manufacturing, integrating AI technology with industrial know-how, and providing a one-stop solution from AI infrastructure to intelligent application deployment [2] Platform Capabilities - The Geega Industrial AI Application Platform features three core capabilities: efficient industrial data standardization, closed-loop knowledge encapsulation and restoration, and tailored intelligent body development [2] - The platform fosters the creation of an "intelligent brain" for industrial manufacturing, known as the Industrial Intelligent Body Matrix, which covers the entire business process from research and development to sales and service [2] Intelligent Body Functionality - Individual intelligent bodies, such as the production scheduling intelligent body, can recommend optimal constraint combinations in 1-2 minutes and complete validation assessments within 15 minutes, significantly improving operational efficiency [3] - The warehouse intelligent body monitors assembly plans and inventory anomalies in real-time, reducing plan adjustment occurrences by over 50% and improving timely delivery rates to 95% [3] Industry Perspective - The release of the industrial AI "dual engine" is seen as a crucial step in driving China's industrial sector towards an "AI-native" transformation, shaping new competitive advantages [4]
行业首发!广域铭岛超级智能体重构制造全流程:开启AI原生企业时代
Jiang Nan Shi Bao· 2025-07-25 07:21
Core Viewpoint - The rapid development of industrial intelligence aligns with the national strategy for new industrialization and the development of new quality productivity, driven by breakthroughs in large model technology [1][14]. Group 1: Industrial AI Integration - The integration of AI into industrial manufacturing is not merely a slogan; it requires deep engagement with specific production scenarios [1][2]. - The challenges of implementing industrial AI include the difficulty of accessing private data, the disconnect between process knowledge and AI technology, and the need for experienced personnel to maintain and adapt systems [2][3]. Group 2: Geega Industrial AI Application Platform - The Geega Industrial AI Application Platform aims to provide a comprehensive solution for manufacturing enterprises, integrating AI technology with industrial know-how [6][12]. - The platform features three core capabilities: efficient industrial data standardization, closed-loop knowledge encapsulation, and customizable intelligent agent development [7][8]. Group 3: Industrial Intelligent Agents - The Industrial Intelligent Agents, built on the Geega platform, cover the entire business process from research and production to supply, sales, and service, creating a collaborative decision-making network [8][10]. - These agents can respond quickly to supply chain disruptions, generating emergency plans and validating feasibility within minutes [10][11]. Group 4: AI-Driven Transformation - The transition from digitalization to intelligentization is characterized by the emergence of AI-native enterprises, which integrate AI deeply into business processes [12][13]. - The company has empowered over 60 enterprises, accumulating practical experience in industrial scenarios, which supports the training and validation of its AI platform and intelligent agents [13][14].
工业AI+“出海”重塑“中国制造”竞争力
Zhong Guo Chan Ye Jing Ji Xin Xi Wang· 2025-07-24 23:23
Core Insights - A recent IDC survey indicates that 77.9% of Chinese manufacturing companies with annual revenues exceeding 1 billion yuan have overseas operations or are actively planning to expand internationally, while 54% are exploring the integration of artificial intelligence (AI) into their operations [1][2] - The current "going global" strategy for Chinese manufacturing companies is categorized into three stages: "Going Global" 1.0 (products), 2.0 (supply chains), and 3.0 (brands and services), with digitalization playing a crucial role in accelerating growth at each stage [1][2] Group 1: "Going Global" 1.0 - In the "Going Global" 1.0 product stage, companies view international expansion as a new growth engine, but compliance is essential for sustainable growth. Cloud-based applications can provide comprehensive solutions for data protection, privacy, and industry compliance [1] - Companies should also focus on channel investment, lead management, customer conversion, logistics, collaboration, and after-sales service to drive growth [1] Group 2: "Going Global" 2.0 - In the "Going Global" 2.0 stage, which involves overseas factories and supply chains, industrial digitalization helps manufacturing companies achieve a balance among efficiency, cost, and quality [2] - 42% of manufacturing companies believe that quality assurance is crucial for establishing trust and building brands in international markets. AI-based industrial inspection solutions are becoming mature in various industries, with large models potentially replacing multiple smaller models [2] Group 3: "Going Global" 3.0 - The "Going Global" 3.0 stage focuses on global innovation in brands and services, utilizing integrated product innovation platforms to achieve local market adaptation while enabling global collaboration in product development [2] - The emergence of domestic large models and open-source technologies is significantly lowering the barriers to AI/GenAI development, accelerating its penetration into the industrial sector. The AI+ industrial software market is expected to grow at a compound annual growth rate (CAGR) of 41.4% from 2024 to 2029, compared to 19.3% for core industrial software [2] Group 4: Future of Industrial AI - Despite the advancements in industrial AI, traditional industrial software will continue to dominate the market, accounting for nearly 80% of the mainstream market, serving as a vital infrastructure for the application of industrial AI [3]