Core Viewpoint - The State-owned Assets Supervision and Administration Commission (SASAC) is focusing on the high-quality development of state-owned enterprises (SOEs) by optimizing the layout and structure of state-owned capital through restructuring and integration efforts [1] Group 1 - The SASAC will concentrate on the "three concentrations" of state-owned capital to enhance the quality of SOEs [1] - The initiative aims to accelerate the construction of more world-class enterprises [1]

【纠错】 【责任编辑:王萌萌】 新华社音视频部制作 1月28日，国务院新闻办公室举行新闻发布会，介绍2025年国资央企高质量发展情况，并答记者问。国 务院国资委副主任庞骁刚表示，"十四五"时期，中央企业资产总额连续跨上了三个大台阶，2025年底突 破95万亿，年均增速达6.9%。 ...

新华社记者顾天成 新华社"雪龙"号/南极长城站1月28日电 通讯：在南极长城站奏响国际合作"科研交响乐" 南极乔治王岛，寒风凛冽。在中国南极长城站温暖的实验室内，葡萄牙科学家卡门·索萨正专注地观察 着显微镜下的海洋生物样本。她的研究项目旨在揭示南极无脊椎动物如何应对金属污染与全球气候变 暖。 卡门笑着对记者说："第三次来到长城站，这里已成为我进行科研的'第二家园'。" 像卡门这样借助中国南极考察平台开展研究的国际科学家正日益增多。记者从中国第42次南极考察队了 解到，今年，有来自葡萄牙、智利等10余个国家和地区的人员与中方队员一道在南极开展科研合作。 "长城站今年提供了从实验室空间、采样船只到样品检测分析的全链条支持。"卡门说。2017年她首次来 站时，站上为她安排了集装箱式临时实验室，并调配橡皮艇协助海上生物采样。 另一组葡萄牙科学家卡约·塞萨尔和塔伊娜·丰塞卡关注南极浮游生物对气候变化的反应。他们告诉记 者，长城站的紫外分光光度计、荧光分光光度计等仪器设备对实验很重要，站内稳定的冷冻储藏能力利 于保存生物样本。 面对记者"为何选择来长城站科考"的提问，葡萄牙科学家们表示，长城站位于南极半岛要冲，便于开展 ...

新华社音视频部 记者：刘开雄、蒋志强 编导：沈倩 新华社国内部 联合制作 【纠错】 【责任编辑:王萌萌】 ...

记者：任沁沁 新华社音视频部制作 编导：沈倩 【纠错】 【责任编辑:焦鹏】 ...

新华社音视频部制作 记者：王希、高亢 【纠错】 【责任编辑:焦鹏】 编导：沈倩 ...

Core Viewpoint - The article emphasizes the development of integrated medical education and elderly care services in response to China's demographic challenges, including declining birth rates and an aging population [1] Group 1: Development Strategies - The proposal suggests that medical institutions should leverage their technical advantages to form close business relationships with childcare and elderly care institutions, either through direct management or contractual agreements [1] - Regions such as Beijing, Hebei, Anhui, Hubei, and Zhejiang are already exploring tighter integration of medical education and elderly care services, showing positive social benefits and resource optimization [1] Group 2: Support Measures - It is essential to enhance inter-departmental collaboration among various government sectors, including health, education, and finance, to expand effective supply and meet basic service needs [2] - The article advocates for the establishment of a collaborative service network involving different healthcare institutions to share resources and improve service efficiency [2] Group 3: Management Mechanisms - A clear operational management mechanism should be established, with defined responsibilities and roles for different entities involved in integrated services [3] - The integration of medical education and elderly care services should be aligned with the construction of medical alliances to ensure seamless service delivery [3] Group 4: Safety and Regulation - A multi-departmental coordination mechanism is necessary to ensure regulatory compliance and service quality in integrated medical and elderly care institutions [3]

【纠错】 【责任编辑:胡蓉】 1月28日，国务院新闻办公室举行新闻发布会，介绍2025年国资央企高质量发展情况，并答记者问。国 务院国资委科技创新局局长张剑龙表示，2025年，中央企业战略性新兴产业营收规模超过12万亿元，连 续三年实现了"每年1万亿"可喜增长。 新华社音视频部制作 ...

半月谈记者 刘铮 王欢 破局：激活"一池春水" "1分换1元，攒积分就像存福气，越帮人心里越甜！"50多岁的留守妇女关凤焕两年前成为菏泽市牡 丹区小留镇邢楼村助老食堂的一名志愿者，每天雷打不动地系着围裙在灶台前忙碌，与另外6名留守妇 女一道，在当地助老食堂帮厨做菜、打扫卫生等。 人海战术、管理粗放、"打卡式"奉献……这些长期困扰志愿服务活动的痛点，如何破解？近年来， 山东精准聚焦上述难题，提升志愿服务精准化、数字化、品牌化水平，不仅有效纾解群众急难愁盼，更 将志愿服务嵌入基层治理神经末梢，在发现隐患、化解风险中彰显志愿服务独特价值。 困局：能力差、管理难、走过场 半月谈记者调研了解到，当前志愿服务普遍面临三大突出问题，制约其可持续发展。 首先，志愿者专业能力不足，"人海战术"难以满足服务需求。"有时一场活动呼啦啦来几十人，但 真正能解决问题的没几个。"某志愿服务队负责人告诉半月谈记者，个别志愿服务组织为了追求"活动频 次"和"服务覆盖面"，未能充分调研实际需求，导致资源错配、流于形式，"不仅造成浪费，还影响了服 务对象的实际获得感"。 其次，志愿服务组织管理粗放，常态化服务难保障。由于志愿者多为兼职或弹性参与 ...

Core Insights - The number of AI companies in China has exceeded 6,000, with the core AI industry expected to surpass 1.2 trillion yuan, reflecting a nearly 30% year-on-year growth [1] - China has become the largest holder of AI patents globally, indicating a significant advancement in AI technology and innovation [1] - The shift from a "Chat" paradigm to an "intelligent agent" era is recognized, emphasizing the need for AI to solve real-world problems [2] Industry Development - The AI sector is experiencing a dual advancement: technological breakthroughs and application integration into various industries [2] - Major companies like Tencent and Baidu are rapidly deploying AI in real-world scenarios, with Tencent integrating its self-developed models into over 900 applications [2] - The competition in AI is now focused on who can effectively address specific problems, marking a transition in the industry [2] Computational Power - China has established 42 intelligent computing clusters, with a total computing power exceeding 1,590 EFLOPS, ranking among the top globally [5] - The development of computing power is characterized by a dual drive of government planning and market innovation, moving towards a more integrated national framework [6] - The "East Data West Computing" project has created eight major hub nodes, which account for over 80% of the national intelligent computing capacity [6] Data Utilization - The data annotation industry is evolving from labor-intensive to knowledge-intensive, focusing on high-quality industry-specific datasets [9] - High-quality data is becoming the focal point of AI competition, essential for training industry models to solve deep sector-specific issues [10] - China possesses a vast amount of data across various industries, which is seen as a valuable resource for AI development [10] Application in Traditional Industries - AI is increasingly being integrated into traditional industries, driving transformation and modernization [13] - The rapid growth in AI applications is reflected in the significant increase in daily token consumption, indicating widespread adoption [14] - AI applications are expanding across manufacturing, with notable increases in research, production, and operational management [16] Social Impact - AI is transforming governance and public services, enhancing efficiency and responsiveness in urban management [18] - The integration of AI into consumer services is changing how businesses understand and meet customer needs [18] - The focus on AI is shifting towards meeting societal demands, with initiatives aimed at fostering a comprehensive ecosystem of smart products [19] Safety and Regulation - The rise of AI-generated low-quality content has raised concerns about safety and ethical challenges, prompting discussions on regulatory frameworks [24][25] - The Chinese government is implementing policies to strengthen AI governance, emphasizing the need for a balanced approach to innovation and risk management [25]