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服贸会13场主题论坛汇聚全球智慧
Bei Jing Ri Bao Ke Hu Duan· 2025-08-30 01:07
本报讯(记者 陈雪柠)昨天,2025年服贸会在首钢园区焦侧除尘多功能厅召开主题论坛媒体通气会, 全面介绍主题论坛总体情况。记者获悉,本届服贸会将集中呈现13场高水平主题论坛,汇聚全球智慧, 共商合作大计,为共建开放型世界经济搭建合作与交流的平台。 主题论坛是服贸会会议论坛活动的核心。北京市国际服务贸易事务中心副主任殷亮介绍,本届服贸会主 题论坛紧密围绕国家发展大局,凸显制度型开放的核心引领作用。其中,商务部、国务院发展研究中心 对外经济研究部、世界旅游城市联合会等权威机构将在论坛上发布《中国服务贸易发展报告2024》《数 字贸易发展与合作报告2025》《世界旅游目的地竞争潜力指数报告》等重磅报告,为全球服务贸易发展 提供"中国视角"和"中国方案";"第九届中国服务贸易标准化论坛"汇聚多个国际组织代表,通过发布系 列标准、案例及国际合作备忘录,助力中国企业"走出去",应对国际合规挑战。 主题论坛将全面展现数字技术与实体经济深度融合所带来的革命性变化。其中,"雄安新区数字贸易创 新发展大会"上,卫星通信、人工智能大模型等一批国际合作项目将签约落地,彰显数字贸易的创新活 力;"电子商务大会"将深入探讨AI赋能消费与 ...
60位专家人才参加北戴河暑期休假,最年轻的33岁
财联社· 2025-08-09 06:22
Core Viewpoint - The article emphasizes the importance of talent in driving national development and innovation, highlighting the government's commitment to supporting and recognizing experts in various fields [2][3][4]. Group 1: Talent Recognition and Support - The invitation of 60 experts to the Beidaihe retreat reflects the government's institutional commitment to talent development, showcasing individuals who have made significant contributions in their respective fields [2][4]. - Experts expressed that the retreat environment demonstrated the government's care and respect for talent, reinforcing their motivation to contribute to national goals [2][4]. - The event serves as a platform for experts to share experiences and insights, fostering a collaborative spirit among leading figures in science and technology [4][8]. Group 2: National Development Goals - The retreat aligns with the broader national strategy of building a strong education, technology, and talent framework, as emphasized by the leadership [3][11]. - Experts are encouraged to embrace their roles in advancing China's modernization and to tackle key technological challenges [11][14]. - The focus on high-quality development and the need for a competitive talent system are highlighted as essential for future growth [10][11]. Group 3: Youth and Future Talent - The participation of younger experts indicates a strategic focus on nurturing the next generation of talent, with discussions centered on their role in driving innovation [10][11]. - The government aims to create an environment conducive to the integration and development of returning talents, addressing unique challenges they may face [5][10]. - Experts unanimously expressed their commitment to transforming governmental support into actionable contributions towards national development [14].
以人工智能赋能医学发展——聚焦2025年中国医学发展大会
Xin Hua She· 2025-04-20 10:14
Core Insights - The integration of artificial intelligence (AI) in the medical field is reshaping the healthcare landscape, driven by advancements such as ChatGPT and AlphaFold [1][2] - The 2025 China Medical Development Conference focused on the theme of "AI Empowering Medical Development," bringing together experts from various disciplines to explore innovative paths for AI and medicine [1][2] Group 1: AI and Medical Integration - AI is recognized as a new productive force that is fundamentally changing the paradigms of medical research and industry ecology [1][2] - The integration of AI in medicine is proposed to be phased: short-term focuses on learning and education, mid-term on deepening applications, and long-term on creating a new ecosystem that encompasses research, clinical practice, and management [2][3] Group 2: Challenges and Solutions - The medical field's data sensitivity and complexity present challenges for AI applications, necessitating a "human-machine alignment principle" to ensure AI becomes a trusted partner for doctors [2][3] - Experts emphasize the need for standardized data and ethical governance as prerequisites for breakthroughs in biomedical AI, particularly in fields like medical imaging and brain-computer interfaces [2][3] Group 3: Practical Applications and Innovations - Various experts propose solutions for AI in medicine, such as using differential equations to analyze tumor microenvironments and sensor technology to capture neural signals [3][4] - The development of AI models inspired by brain science aims to enhance cognitive intelligence while addressing the limitations of current large models [3][4] Group 4: Policy and Education - The need for high-quality medical data sets and AI corpora is highlighted, along with the importance of multi-disciplinary collaboration to drive policy innovation and talent development [4] - The education sector is responding to AI's impact by enhancing AI literacy among students and faculty through various initiatives, including the establishment of university alliances and the introduction of "AI+" courses [4][5]