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最新报告显示北斗产业景气度进一步提升
Ke Ji Ri Bao· 2025-11-07 08:31
Core Insights - The report indicates that by mid-2025, the comprehensive index of the Beidou industry is expected to reach 1579 points, reflecting a year-on-year increase of 10.34% and a growth of over 60% compared to 2020, showcasing strong growth during the 14th Five-Year Plan period [1] - The number of various types of Beidou terminal devices (excluding consumer electronics) is projected to exceed 33 million units, with an increase of over 6 million units year-on-year, representing a growth of over 22% [1] - The penetration rate of Beidou applications is approximately 90%, with over 30 million terminal devices applied in 14 key industry sectors, showing a year-on-year growth of over 27% [1] Regional Development - The development of the Beidou industry is concentrated in five hotspot regions: Beijing-Tianjin-Hebei, Guangdong Province, East China centered around the Yangtze River Delta, Western regions centered around Chengdu and Chongqing, and Central China with Zhengzhou, Wuhan, and Changsha as cores [2] - The top five provinces in terms of development index are Beijing, Guangdong, Jiangsu, Shanghai, and Hubei [2] Industry Applications - The top five industry application indices are in transportation, communication, natural resources, emergency response, and agriculture [2] - The report emphasizes the need for active evaluation of Beidou application effectiveness and encourages deeper integration of Beidou in various industries, promoting the combination of spatial information with internet and IoT services [2]
来!体验“更懂你”的智慧生活
Ke Ji Ri Bao· 2025-11-07 08:31
Group 1: Innovative Products at the Expo - A skin detection device developed by L'Oréal can analyze 45 skin issues and generate a personal skin report based on user data and habits, trained on 355,000 consumer data sets [1] - Nike showcased an air-adjustable jacket that allows users to switch between different warmth levels without changing clothes, tested for over 380 hours in various sports scenarios [2] - A weight loss wristband from Yuefan Medical Technology uses electrical pulses to stimulate the brain's satiety center, leading to significant weight and BMI reduction in users [2] Group 2: Trends in Consumer Products - The introduction of these products reflects a trend towards smart and personalized consumer solutions, indicating a future where products are increasingly tailored to individual needs [3] - The slow-wave sleep machine from Shanghai Ainas Technology can enhance sleep quality by emitting charged particles at a frequency matching deep sleep brain waves, significantly improving upon previous models [3]
世界首批基因编辑民猪培育成功
Ke Ji Ri Bao· 2025-11-07 05:55
11月7日,记者从黑龙江省农业科学院获悉,该院教授刘娣团队与中山大学何祖勇团队联合攻关,以国家级保护猪种民猪为对象,成功培育世界 首批单基因和多基因编辑民猪20头。 刘娣表示,团队将进一步加强基因编辑猪的性状评估并继续开展其他基因编辑猪的研究,推动该成果迈向产业应用,为我国地方猪种资源保 护、新种质创制和生命健康产业发展注入新动能。 (文章来源:科技日报) 项目组先后于2024年11月8日和2025年7月25日,在黑龙江省农业科学院实验猪场获得两批20头民猪的基因编辑猪。项目首次以民猪为对象,分 别获得了具有提高肉质效应的IGF2基因编辑猪;具有提高繁殖力的BMP15基因编辑猪。在多基因组合编辑方面,将BMP15、MSTN、CD163三 个基因组合编辑,获得具有增产、高繁殖力、抗病效应的三基因编辑猪;同时,将TYR、SGK3、GHRHR三个基因组合编辑,获得具有无毛、 白化、矮小效应的三基因编辑猪。此外,团队还以五指山猪为对象,成功获得生长相关PROP1基因编辑猪、高繁殖力FecB基因编辑猪。 该研究成果,标志着团队在利用民猪进行基因编辑方面走在国际前列,不仅为优质高效民猪生产提供了基因编辑育种新路径,更为医 ...
植物油制成变压器 我国首次研发应用高海拔环保型变压器
Ke Ji Ri Bao· 2025-11-07 04:47
11月5日,10千伏植物油配电变压器在青海省果洛藏族自治州玛多县挂网运行,标志着高海拔环保型变压器在青海进入全面推广阶段。国网青海省电力公司 利用"大豆油基+复合添加剂"技术研制出的配电变压器不仅减碳环保、性能稳定,降解率更达近100%,这是我国首次研发和推广应用高海拔环保型变压器, 此举为三江源地区生态保护与电网建设协调发展探索出了可行路径。 国网青海省电力公司研制的10千伏植物油配电变压器在青海玛多县玛拉驿村完成安装调试并挂网运行。刘玉斌摄 与普通食用植物油不同的是,植物绝缘油需要解决抗氧化稳定性不足和低温流动性受限两大难题。国网青海省电力公司探索"大豆油基+复合添加剂"技术方 法,选用大豆油为基础油,融入添加环保型抗氧化剂和高效降凝剂,如同为变压器注入了"抗衰老屏障"与"低温流畅剂"。经反复测试应用,研究人员发现尽 管面对高原低温、低氧、强辐射等极端环境条件,植物绝缘油依旧可以保持长期稳定性和顺畅流动,进一步确保配电变压器在高原地区可靠稳定运行。 (文章来源:科技日报) 国网青海省电力公司研制的10千伏植物油配电变压器在青海玛多县玛拉驿村完成安装调试并挂网运行。刘玉斌摄 此次在玛多县挂网运行的10千伏植 ...
【科技日报】学习贯彻党的二十届四中全会精神中央宣讲团在全国人大机关、国务院办公厅机关、人力资源社会保障部、全国政协机关、中国科学院、吉林、黑龙江、湖南、广西、浙江大学宣讲
Ke Ji Ri Bao· 2025-11-07 03:28
中央宣讲团成员、中共中央政治局委员、全国人大常委会副委员长李鸿忠11月6日在全国人大机关 宣讲党的二十届四中全会精神。 李鸿忠围绕学习领会习近平总书记重要讲话精神和全会审议通过的《建议》,从深刻认识全会重大 意义,准确把握"十五五"时期在基本实现社会主义现代化进程中的重要地位,深刻领会"十五五"时期经 济社会发展的指导方针和主要目标,全面理解"十五五"时期经济社会发展的战略任务和重大举措,坚持 和加强党的全面领导等方面,对四中全会精神进行系统宣讲和深入阐释。 李鸿忠强调,全会取得的重大成果、作出的重大部署,充分体现了以习近平同志为核心的党中央团 结带领全党全国各族人民续写经济快速发展和社会长期稳定两大奇迹新篇章、奋力开创中国式现代化建 设新局面的历史主动,必将对党和国家事业发展产生重大而深远的影响。要深刻领悟"两个确立"的决定 性意义,坚决做到"两个维护",始终在思想上政治上行动上同以习近平同志为核心的党中央保持高度一 致。对《建议》提出的人大工作任务举措逐项认真研究,结合实际抓好落实,推动人大工作高质量发 展。 全国人大机关党组成员,各专门委员会、工作委员会有关负责同志和机关党员干部参加报告会。 新华社北京 ...
大语言模型仍无法可靠区分信念与事实 为高风险领域应用敲警钟
Ke Ji Ri Bao· 2025-11-07 01:43
Core Insights - A recent study from Stanford University highlights significant limitations of large language models (LLMs) in distinguishing between user beliefs and factual information, raising concerns about their reliability in high-stakes fields such as medicine, law, and scientific decision-making [1][2] Group 1: Model Performance - The study analyzed 24 LLMs, including DeepSeek and GPT-4o, across 13,000 questions, revealing that newer models achieved an average accuracy of 91.1% or 91.5% in verifying factual data, while older models had an average accuracy of 84.8% or 71.5% [1] - When responding to first-person beliefs ("I believe..."), newer models identified false beliefs 34.3% less accurately compared to true beliefs, while older models showed a 38.6% lower accuracy in identifying false beliefs compared to true beliefs [1] Group 2: Implications for AI Development - The study indicates that LLMs tend to correct users factually rather than identifying their beliefs, with newer models showing a 4.6% decrease in accuracy for third-person beliefs and older models showing a 15.5% decrease [2] - The findings emphasize the necessity for LLMs to effectively differentiate between facts and beliefs to prevent the spread of misinformation, particularly in complex social contexts [2]
“空中黑科技”飞入百姓家
Ke Ji Ri Bao· 2025-11-07 00:11
Core Insights - The seventh China Tianjin International Helicopter Expo showcased innovative low-altitude technologies, including heavy-lift drones and autonomous aircraft, which are gradually integrating into daily life and revitalizing sectors like logistics, tourism, and emergency response [1] Group 1: Heavy-lift Drone - FWH-3000 - The FWH-3000 heavy-lift drone, developed by Beijing Hangjing Innovation Technology Co., features a unique double rotor design that enhances its load capacity by approximately 30% compared to traditional single-rotor drones [2] - With a maximum takeoff weight of 2.3 tons and a payload capacity of 1 ton, the drone's cargo hold can accommodate two standard 500 kg pallets and can be converted into a medical rescue cabin for six patients in emergencies [2] - The drone's advanced flight control system ensures stability even in challenging environments, such as high-altitude areas with strong winds [2] Group 2: Autonomous Aircraft - EH216-S - The EH216-S is an electric vertical takeoff and landing aircraft designed for tourism, featuring a fully enclosed cockpit without traditional controls, allowing for fully automated flight operations [3] - Safety is prioritized with a redundant flight control system, enabling safe landing even if half of its 16 propellers fail, and it includes an automatic return system for emergencies [3] - The EH216-S will be commercially deployed in various scenic spots across China, with 60 units already acquired for low-altitude tourism projects, enhancing the sightseeing experience by providing aerial views of landscapes [4] - The aircraft operates with zero emissions and low noise, making it suitable for urban environments, and is being explored as a potential solution for urban traffic congestion through "air taxi" services [4]
新型钛酸锶薄膜低温电光性能创新高
Ke Ji Ri Bao· 2025-11-07 00:04
Core Insights - A new type of strontium titanate (SrTiO3) thin film has been developed by Belgian scientists, demonstrating record electro-optic performance at extremely low temperatures, which could enhance optical control components for quantum modules [1][2] Group 1: Material Performance - The new strontium titanate thin film exhibits low optical loss and exceptional electro-optic performance at temperatures close to absolute zero, specifically at -269.15°C [1] - The material achieved a Pockels coefficient of 350 pm/V at -269.15°C, marking the highest record for any thin-film electro-optic material at this temperature [1] Group 2: Applications and Implications - The high response and low loss characteristics of the material facilitate the development of smaller devices with reduced photon loss, advancing the next generation of quantum interconnects, modulators, and sensors [2] - Another study indicates that by precisely controlling the structure of strontium titanate, its response to electric fields becomes significantly strong and tunable at temperatures between 4-5 Kelvin, highlighting the controllable potential of this material [2]
韩将大幅提升AI相关预算
Ke Ji Ri Bao· 2025-11-07 00:02
当前,AI已被定为韩国的国家战略技术,并在《特别税制限制法》中扩展相关税收优惠。数据中心相 关的规制亦被放宽,电力系统影响评估在首都圈外数据中心可获得优先处理。在政府采购方面,通 过"数字服务市场"等机制,韩国加速AI服务平台在公共部门的采用。 (文章来源:科技日报) 韩国总统李在明4日就2026年预算在国会进行说明。李在明在说明中多次强调发展人工智能(AI)产业 必要性,并表示韩国2026年AI相关预算总计将达10.1万亿韩元,是2025年相关预算3.3万亿韩元的三倍 多。其中,2.6万亿韩元将投资于工业、生活、公共服务等各个领域的AI引入,7.5万亿韩元将投资于人 才培养和基础设施建设。 李在明称,韩国将在未来5年内投资约6万亿韩元,快速实现以机器人、汽车、造船、家电和半导体等主 要行业为中心的AI时代重大转型。韩国还将在人才培养和核心基础设施建设上进行有计划投资,预计 培养11000名高素质人才,以加强AI领域竞争力,并通过针对每一代的定制教育,支持全国每个人能够 使用AI。此外,韩国将额外购买15000个高性能GPU。 李在明表示,AI、内容、国防等高科技战略产业核心技术开发的研发投入也将提升19.3 ...
大语言模型仍无法可靠区分信念与事实 为高风险领域应用敲响警钟
Ke Ji Ri Bao· 2025-11-07 00:01
Core Insights - A recent study from Stanford University highlights significant limitations of large language models (LLMs) in distinguishing between user beliefs and factual information, raising concerns about their application in high-risk fields such as medicine, law, and scientific decision-making [1][2] Group 1: Model Performance - The study analyzed 24 LLMs, including DeepSeek and GPT-4o, across 13,000 questions, revealing that newer models achieved an average accuracy of 91.1% or 91.5% in verifying factual data, while older models had an average accuracy of 84.8% or 71.5% [1] - When responding to first-person beliefs ("I believe..."), newer models (post-May 2024 GPT-4o) had a 34.3% lower probability of identifying false beliefs compared to true beliefs, while older models had a 38.6% lower probability [1] Group 2: Belief Recognition Challenges - LLMs tend to prioritize correcting users factually rather than identifying their beliefs, with newer models showing a 4.6% decrease in accuracy for third-person beliefs ("Mary believes...") and older models showing a 15.5% decrease [2] - The study concludes that LLMs must effectively differentiate between the nuances of fact and belief to respond accurately to user queries and prevent the spread of misinformation [2]