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国家发展改革委:全国多地启动国家人工智能应用中试基地建设
Ke Ji Ri Bao· 2025-11-28 05:33
"我们鼓励各类创新主体深度参与到应用中试基地建设与运行当中来,积极开展应用中试验证与方案优 化,加速应用成果转化和落地见效,既作为基地能力的建设者,也成为普惠服务的受益者。"李超表 示,随着应用中试基地建设的深入推进,资源汇聚和协同赋能的作用将进一步凸显,为人工智能企业、 高校科研机构,以及各行业领域用户提供更加有力的能力支撑,带来更多发展机遇。 (责任编辑:张紫祎) 李超以港口航运方向应用中试基地为例分析,基地构建了全球规模最大、覆盖港口业务场景最全的训练 数据集,可以为港口生产作业、无人驾驶等方面的技术研发、验证提供有力支撑。其汇聚了数百家人工 智能技术供给方和港口领域用户单位,大大降低了港口行业人工智能应用开发的门槛。 她还以电力方向应用中试基地为例介绍,基地通过提供真实电网场景,支持开发团队测试算法、快速迭 代,探索新能源功率预测、设备故障分析、输电线路巡检等应用,成功研发出"天权"高效计算求解器, 攻克了能源领域超大规模优化计算的世界难题,以业务需求精准推动技术创新。 记者从27日举行的国家发展改革委11月份新闻发布会获悉,目前,全国多地启动国家人工智能应用中试 基地建设。"今年以来,国家发展改革委 ...
全国多地启动国家人工智能应用中试基地建设
Ke Ji Ri Bao· 2025-11-28 01:00
李超以港口航运方向应用中试基地为例分析,基地构建了全球规模最大、覆盖港口业务场景最全的 训练数据集,可以为港口生产作业、无人驾驶等方面的技术研发、验证提供有力支撑。其汇聚了数百家 人工智能技术供给方和港口领域用户单位,大大降低了港口行业人工智能应用开发的门槛。 她还以电力方向应用中试基地为例介绍,基地通过提供真实电网场景,支持开发团队测试算法、快 速迭代,探索新能源功率预测、设备故障分析、输电线路巡检等应用,成功研发出"天权"高效计算求解 器,攻克了能源领域超大规模优化计算的世界难题,以业务需求精准推动技术创新。 "我们鼓励各类创新主体深度参与到应用中试基地建设与运行当中来,积极开展应用中试验证与方 案优化,加速应用成果转化和落地见效,既作为基地能力的建设者,也成为普惠服务的受益者。"李超 表示,随着应用中试基地建设的深入推进,资源汇聚和协同赋能的作用将进一步凸显,为人工智能企 业、高校科研机构,以及各行业领域用户提供更加有力的能力支撑,带来更多发展机遇。 科技日报北京11月27日电 (记者刘园园)记者从27日举行的国家发展改革委11月份新闻发布会获 悉,目前,全国多地启动国家人工智能应用中试基地建设。"今年 ...
国家发展改革委:鼓励各类创新主体深度参与应用中试基地建设与运行
Zhong Guo Xin Wen Wang· 2025-11-27 11:37
Core Viewpoint - The National Development and Reform Commission (NDRC) encourages various innovative entities to deeply participate in the construction and operation of application pilot bases, aiming to accelerate the transformation and implementation of application results [1][3]. Group 1: Application Pilot Bases - The primary task of the national artificial intelligence application pilot bases is to serve as "connectors" for collaborative innovation in the industrial chain, "accelerators" for the transformation of technological achievements, and "incubators" for the landing of high-quality applications [1]. - Progress has been made in establishing application pilot bases in key sectors such as manufacturing, healthcare, and transportation, with positive outcomes reported [1]. Group 2: Resource Integration and Collaboration - The port and shipping application pilot base has created the world's largest training dataset covering various port business scenarios, significantly lowering the barriers for AI application development in the port industry [2]. - The electricity application pilot base provides real grid scenarios for development teams to test algorithms and iterate quickly, leading to the successful development of the "Tianquan" efficient computing solver, addressing large-scale optimization challenges in the energy sector [2]. Group 3: Result Promotion - The healthcare application pilot base focuses on clinical needs, incubating smart medical applications for early screening of fetal heart disease, improving early screening efficiency by over 10 times and diagnostic accuracy by over 40%, with services extending to multiple regions [2]. - As the construction of application pilot bases progresses, the role of resource aggregation and collaborative empowerment will become more prominent, providing stronger support for AI companies, research institutions, and users across various industries [3].
胎儿先心病早筛效率提升十倍多,AI中试基地如何发挥效能?
Nan Fang Du Shi Bao· 2025-11-27 08:15
Core Insights - The application of "artificial intelligence+" in early screening for congenital heart disease in fetuses has improved efficiency by over 10 times and diagnostic accuracy by over 40% [1][7] - The establishment of national artificial intelligence application pilot bases aims to address the challenges of connecting industry needs, technological achievements, and application scenarios [4][6] Group 1: Artificial Intelligence Application - The "artificial intelligence+" initiative is supported by the establishment of national application pilot bases, which serve as connectors, accelerators, and incubators for innovation and application [4][5] - The pilot bases are designed to facilitate the transformation of technological achievements into practical applications, encouraging various innovative entities to participate in their construction and operation [5] Group 2: Industry Focus Areas - The national artificial intelligence application pilot bases will be developed in key sectors such as manufacturing, healthcare, transportation, finance, and energy resources [6] - Specific examples include the establishment of pilot bases in Guangdong for consumer mobile terminal applications and in various regions for healthcare applications targeting fetal heart disease screening [6][7] Group 3: Impact and Future Prospects - The pilot bases have shown significant effects in resource integration, supply-demand matching, and achievement promotion, as evidenced by the development of a comprehensive training dataset for port operations [6][7] - As the construction of these pilot bases progresses, the collaborative empowerment and resource aggregation will provide more support for AI companies, research institutions, and industry users, creating further development opportunities [7]