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长沙“人工智能+”加出万象应用生态
Chang Sha Wan Bao· 2026-01-03 01:12
2025年是"十四五"规划收官之年,回望2025年,长沙经济在前行中展现出强大韧性,高质量发展的 动能愈加强劲。为深入解读长沙经济工作亮点成效,即日起推出"2025长沙年终经济观察"系列报道,聚 焦产业升级、消费扩容、就业保障、出口提质等领域,解读发展逻辑,记录奋进足音。 2025年最热门的关键词是什么?"人工智能"当仁不让。从能歌善舞的人形机器人,到精巧灵活的工业机 械臂,人工智能正快速走向你我。作为技术落地的"最后一公里",应用场景的拓展尤为关键。 近日,《长沙市"人工智能+"行动方案》(长政发〔2025〕13号)(以下简称《行动方案》)正式出 台,为长沙人工智能产业发展绘就蓝图,并将应用场景置于关键位置。"长沙人工智能产业应用场景丰 富,正着力扩大场景应用的规模。"长沙市工业和信息化局相关负责人介绍,《行动方案》覆盖"核心技 术研发-产业集聚发展-场景应用推广-基础底座支撑-人才政策保障"全链条,形成了从创新到产业化的完 整生态,同时通过场景开放带动技术创新和产业升级。 号角已吹响,锚定建设"人工智能场景应用示范地"这一宏伟目标,长沙有何抓手?翻开同步发布的第一 批长沙市"人工智能+"示范场景清单,来自 ...
长沙“人工智能+”加出万象应用生态|2025长沙年终经济观察
Xin Lang Cai Jing· 2026-01-02 23:42
Core Insights - The article emphasizes the rapid development and application of artificial intelligence (AI) in various sectors, particularly in logistics and healthcare, showcasing how cities like Changsha are becoming hubs for AI innovation and implementation [15][19][21]. Group 1: Artificial Intelligence Development - Changsha has officially launched the "Artificial Intelligence+" action plan, which aims to create a comprehensive ecosystem for AI development, focusing on core technology research, industry aggregation, and application promotion [15][16]. - The first batch of AI demonstration scenarios includes 14 applications across various fields such as industrial development, consumer enhancement, and public welfare [15][16]. Group 2: Logistics and Delivery Innovations - The company Hangshen Intelligent Technology has developed an autonomous delivery vehicle that operates at an L4 automation level, significantly improving efficiency in the logistics sector, where last-mile delivery is often the most costly and challenging part of the supply chain [16][17]. - The autonomous delivery system utilizes a multi-source environmental perception model, integrating various sensors to enhance its operational capabilities, even in adverse weather conditions [17][18]. Group 3: Healthcare Applications - The "Simiya AI" model developed by Hunan Boji Life Technology is transforming traditional Chinese medicine by providing data-driven recommendations for complex patient cases, thus moving from experience-based to computable medicine [19][20]. - The implementation of "Simiya AI" has led to a significant reduction in diagnosis time and improved patient satisfaction in community health services [20]. Group 4: Government Support and Ecosystem - The Changsha government has provided substantial support to local AI enterprises, facilitating testing and data sharing, which is crucial for the commercial viability of AI applications [18]. - The article highlights the collaborative model in Changsha, where government, enterprises, and application scenarios work together to foster a thriving AI ecosystem [18][21].