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].

Core Insights - The establishment of the Inspur Artificial Intelligence Industry Technology Research Institute and the inclusion of the Laoshan District AI Future Industry Acceleration Park in Shandong Province's public list of future industry acceleration parks indicate strong growth momentum in the AI sector in Qingdao [1] Group 1: Industry Development - The Laoshan District AI Future Industry Acceleration Park has attracted over 280 key AI enterprises, including industry leaders such as UBTECH, Leju Robotics, and Zhongke Xingtai [1] - The park has developed a robust industrial ecosystem characterized by a "chain leader navigation - leading enterprises driving - tiered cultivation" model, facilitating the emergence of small and medium-sized innovative companies [2] Group 2: Technological Advancements - The park integrates powerful computing resources, with over 2600P of computable power available, enabling companies to overcome computational limitations in large-scale data processing and complex model training [2] - The park has nurtured 37 industry-specific large models, with five models, including Haier's HomeGPT and Natural Language Processing's Euler, having received approval from the Central Cyberspace Administration of China [3] Group 3: Innovation Platforms - Laoshan District has cultivated 37 national and provincial AI innovation platforms, including the National High-end Intelligent Home Appliance Innovation Center, which has passed Ministry of Industry and Information Technology verification and achieved breakthroughs in over 20 key industry technologies [4] - The platforms have served over 200 enterprises, helping small and medium-sized companies overcome technical bottlenecks and enabling large enterprises to deepen technological innovation [4]