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山东青岛崂山区:创建人工智能创新应用先导区
Ke Ji Ri Bao· 2025-09-26 10:15
Core Viewpoint - The article highlights the rapid development of the artificial intelligence (AI) industry in Laoshan District, Qingdao, with a focus on creating a leading national AI innovation application zone, aiming for an industry scale exceeding 35 billion yuan by 2024 [1][3]. Group 1: AI Industry Development - Laoshan District has set a strategic goal to become a national leader in AI innovation applications, focusing on embodied intelligent robots, vertical domain large models, and marine AI services [1][3]. - The district has successfully attracted over 280 key AI enterprises and has been recognized as a future industry acceleration park by Shandong Province, receiving initial funding support of 4 million yuan [3][4]. Group 2: Infrastructure and Support - Qingdao Parallel Technology Co., Ltd. has established a computing power cluster in Laoshan District to support AI industry development, with a unified scheduling platform already in place [2]. - The district has cultivated 37 national and provincial AI innovation platforms, including a high-end smart home appliance innovation center that has achieved breakthroughs in over 20 key industry technologies [4]. Group 3: Large Model Development - Laoshan District has five large models registered with the National Internet Information Office, with an additional 16 industry-specific large models included in Shandong's key product database [5]. - The district is focusing on vertical domain large models and marine large models, utilizing policy guidance and computing power subsidies to accelerate technology research and application [5][6]. Group 4: Application of AI in Industries - AI applications are being implemented across various sectors, with significant improvements in efficiency and production output, such as a 300% increase in production efficiency at Qingdao Shuangrui Marine Environmental Engineering Co., Ltd. [7][8]. - The district is promoting the "AI+" initiative, which includes policies to support digital transformation and the construction of benchmark projects in key industries [7][8]. Group 5: Future Plans and Goals - Laoshan District aims to explore innovative application scenarios and establish an open center for application scenarios, focusing on seven key areas including smart tourism, marine intelligence, and smart manufacturing [8]. - The district is committed to fostering innovation, aggregation, and integration in the AI industry, striving to create a nationally leading AI industrial hub [8].
青岛:人工智能让城市更 “聪明”
Da Zhong Ri Bao· 2025-08-06 03:08
Group 1 - The development of artificial intelligence in Qingdao is accelerating, with significant achievements that are increasingly integrated into daily life [3][5] - The Qingdao Metro Group has launched China's first AI model for urban rail transit, enhancing operational efficiency by reducing the operational process from 27 steps to 7 steps, achieving a 70% improvement in response time for power supply failures [3] - Hisense Network Technology Co., Ltd. has developed a domain-specific AI model for urban traffic, which has been implemented in multiple cities, improving traffic management efficiency by over 50% [1] Group 2 - Innovation and deep integration of AI with industrial scenarios are empowering various sectors, with companies like Innovation Qizhi Technology Group serving over 1,200 clients in manufacturing since its establishment in 2018 [2] - The focus on humanoid intelligent robots is a key development direction in Qingdao's AI industry, with companies like Guohua (Qingdao) Intelligent Equipment Co., Ltd. pioneering technologies that address critical design issues in robotics [4] - The collaborative efforts among various institutions and companies aim to maintain leadership in the smart transportation sector through the establishment of innovation alliances [1][3]
产业链上的山东好品牌·青岛新力量|青岛AI链主企业如何改写制造业规则?
Xin Lang Cai Jing· 2025-07-31 10:56
Core Insights - Qingdao's AI industry aims to achieve a scale of over 200 billion yuan by 2026, with a focus on technology innovation driving industrial transformation [1][3] - The event highlighted the successful application of AI technologies in various sectors, including traffic management, industrial manufacturing, and robotics, showcasing a strategic upgrade from technology breakthroughs to ecosystem building [1][4] Group 1: AI Technology Applications - Hisense's "Hisense Tongtu Model" has improved public sentiment processing efficiency by 90% and road safety hazard identification accuracy to over 80% [3] - The "Qizhi Kongming AInnoGC" model integrates industrial robots, achieving a 70% reduction in power supply fault handling steps in trial applications [4] - The Qingdao Metro's collaboration with 17 metro units and 18 industry units has significantly enhanced fault location efficiency in power supply systems [6] Group 2: Industrial Integration and Growth - Over 70% of the 1,200 clients served by Qizhi are in manufacturing, with expectations for manufacturing revenue contribution to exceed 80% in 2024 [5] - Innovations in the harmonic reducer sector have led to an 80% market share in Shandong, breaking foreign monopolies [5] - The integration of AI in manufacturing is transitioning from isolated breakthroughs to comprehensive system restructuring [7] Group 3: Collaborative Ecosystem Development - Qingdao's AI industry is forming a multi-layered innovation network, with Hisense and local universities collaborating on smart traffic models [9] - The establishment of a collaborative ecosystem aligns with Shandong's policy to support innovation unions [10] - Qingdao's AI initiatives are supported by significant government funding, including a 50 billion yuan special fund [11] Group 4: Strategic Vision and Future Outlook - Qingdao's AI industry is positioned as a key player in the national AI landscape, focusing on vertical integration and ecosystem collaboration [13] - The city aims to leverage AI to transform foundational industries such as transportation, manufacturing, and energy, creating a new intelligent economic hub in Northern China [11][13]