Core Insights - Researchers from Rice University, in collaboration with Los Alamos and Sandia National Laboratories, have developed a new signal control method that can determine the direction of a signal with an accuracy of 0.1 degrees, improving upon existing technologies by approximately tenfold [1][2] - This breakthrough is likened to equipping 6G communication signals with "instant GPS," addressing the challenge of quickly aligning high-frequency signals, which is crucial for ultra-high-speed data communication [1][2] Group 1 - The high-frequency bands are expected to be a key support for future 6G networks, catering to high-data applications such as wireless virtual reality headsets and real-time perception systems [1] - The developed method allows for almost instantaneous connections, enabling wireless links to be established or restored with extremely low latency, facilitating automatic identification and alignment of devices within milliseconds or even picoseconds [1][2] Group 2 - The technology functions like a "lighthouse" emitting multi-colored light, where each color's intensity varies randomly in different directions, allowing receivers to deduce their precise position relative to the transmitter [2] - The use of a super-thin electronic surface enables the scattering of signals into unique patterns based on direction and frequency, creating distinct "electromagnetic fingerprints" for rapid signal source identification [2] - This foundational breakthrough resolves the issue of rapid alignment of 6G signals, paving the way for widespread applications in wireless VR, holographic communication, and remote precision surgery, all of which require near-zero latency for massive data transmission [2]

Group 1 - The East Asia Summit New Energy Forum has officially established a secretariat, marking a new phase of institutionalized and normalized cooperation in the region's new energy sector [1] - The forum has attracted over 2,800 participants since its inception in 2013, serving as a crucial link for East Asia's new energy collaboration [1] - The energy demand in East Asia accounts for 35% of the global total, with a high reliance on traditional energy sources, necessitating the construction of a regional energy community through interconnected power grids and joint research [1][2] Group 2 - Yunnan Province aims to build a cooperative system based on its industrial practices, establishing a new energy technology cooperation alliance to promote open sharing of research facilities and data resources [2] - Yunnan has a new energy installed capacity of 68 million kilowatts, providing solid support for regional cooperation [2] - The province has formed advantages in multiple industries, including a "1+4+4" layout in the photovoltaic sector, and has launched the first green hydrogen full industry chain demonstration project in the country [2][3] Group 3 - The forum includes thematic reports, keynote speeches, and roundtable discussions to promote consensus among member countries on new energy technology transformation and regional collaborative innovation [3] - The establishment of the forum secretariat is seen as a model for global regional energy cooperation [3]

Core Points - China has submitted the "2035 Nationally Determined Contribution Report" to the UN Framework Convention on Climate Change, outlining its goals for reducing greenhouse gas emissions and increasing the share of non-fossil energy consumption by 2035 [1][2] Group 1: Emission Reduction Goals - By 2035, China's total greenhouse gas emissions are targeted to decrease by 7% to 10% from peak levels, with a goal of achieving better results [1] - The share of non-fossil energy consumption in total energy consumption is expected to exceed 30% [1] - Installed capacity for wind and solar power is aimed to reach over six times that of 2020, targeting 360 million kilowatts [1] Group 2: Technological Innovation and Support - The report emphasizes the need for significant scientific research and technological innovation to support climate change mitigation efforts [1] - A series of policies and actions will be implemented focusing on legal frameworks, greenhouse gas control, and climate adaptation, with technology innovation being a key driving force [2] Group 3: Ecosystem and Carbon Sink Enhancement - Actions will be taken to enhance the carbon sink capacity of ecosystems, including promoting efficient agricultural practices and integrated protection of natural resources [2] - By 2035, the area of ecological protection red lines is expected to be no less than 3.15 million square kilometers, with a forest coverage rate target of over 26% [2] Group 4: Climate Change Adaptation - The report calls for strengthening monitoring, early warning, and risk assessment capabilities related to climate change [2] - By 2035, a comprehensive flood prevention and disaster reduction system is expected to be established, significantly improving flood safety and response capabilities [2]

但这一切终究只是推测。没人真正亲眼见证其发生。 这是大自然在纳米尺度上写下的精妙光学诗篇。 在加拿大阿尔伯塔省的荒野深处，埋藏着仿佛不属于地球的斑彩石。它不像普通的化石那样灰暗沉 闷，反而闪烁着霓虹灯般的色彩：绿如深海，红似火焰，蓝若极光，紫如暮霭。转动它，颜色便随之流 动变幻，如同把整个彩虹封存进了岩层。它的精彩不输宝石，但其真实身份，是一块距今7000万年的菊 石壳化石——一种早已灭绝的海洋生物的遗骸。 可为什么一块死去的贝壳，能比活着的珊瑚还要绚丽？长久以来，科学家推测它的美来自贝壳内部 一种叫珍珠层的结构。这种结构由无数极薄的霰石矿物片层堆叠而成，层与层之间夹着微量的有机物 质，就像千层蛋糕一样精密。当光线照进去，会在这些微小的层间反复反射、干涉，最终把白光"拆 解"成五颜六色的光谱，就像水面上的油膜或孔雀羽毛那样。 原来，所有样本的珍珠层都是由霰石片层堆叠而成，但斑彩石的结构格外"讲究"，它的片层之间留 有极其精确的4纳米宽的空隙。这大约是头发丝直径的十万分之一！正是这个微小却关键的间隙，让光 线在其中发生强烈的反射与干涉，激发出最饱和、最明亮的色彩。更神奇的是，这些片层厚度几乎完全 一致，排列也极 ...

Core Insights - A new signal control method developed by researchers from Rice University in collaboration with Los Alamos and Sandia National Laboratories can determine the direction of signals with an accuracy of 0.1 degrees, improving precision by approximately 10 times compared to existing technologies [1] - This advancement is likened to equipping 6G communication signals with "instant GPS," addressing the challenge of quickly aligning high-frequency signals, which is crucial for ultra-high-speed data communication [1] Summary by Sections Technology Development - The new method allows for almost instantaneous connections between transmitters and receivers, enabling high-precision angle estimation of signals in a very short time [1] - The technology is expected to facilitate low-latency wireless links, allowing devices to automatically identify and align with each other in milliseconds or even picoseconds [1] Application Potential - High-frequency bands are anticipated to be key for future 6G networks, supporting applications such as wireless virtual reality headsets and real-time perception systems that require high data rates [1] - The ability to quickly and accurately lock onto signals will enhance the reliability and intelligence of 6G networks, paving the way for smart cities and applications like wireless VR, holographic communication, and remote precision surgery [3] Methodology - The research team utilized a super-thin electronic surface that scatters signals into unique patterns based on the direction and frequency of the waves, creating distinct "electromagnetic fingerprints" for each direction [2] - Receivers can determine the signal source within a few picoseconds by comparing received patterns with a pre-established signal library [2]

Core Insights - A self-driven experimental system developed by the University of Chicago's Pritzker School of Molecular Engineering can autonomously synthesize and optimize materials without continuous human intervention [1][2] - This system integrates robotic automation and machine learning algorithms to create a closed-loop operation from experiment execution to performance measurement and result analysis [1][2] Group 1: System Overview - The system focuses on Physical Vapor Deposition (PVD) technology, which is sensitive to temperature, time, material purity, and environmental conditions, making accurate predictions challenging [2] - Traditional methods require manual adjustments and typically take over a day per experiment, leading to inefficiencies [2] - The new robotic system automates all PVD steps, including sample handling, film preparation, and performance testing [2] Group 2: Machine Learning Integration - Collaboration with computer scientists led to the development of specialized machine learning algorithms that guide the system in synthesis and analysis while dynamically adjusting experimental conditions [2] - Users only need to input desired film performance metrics, and the machine learning model autonomously plans the experimental path [2] Group 3: Performance Validation - The system was tested by aiming to produce silver films with specific optical properties, achieving the target in an average of just 2.3 experiments [3] - The self-driven system was able to explore various process conditions comprehensively, accomplishing what would take human teams weeks in just a few runs [3] Group 4: Cost Efficiency - The entire setup is significantly cheaper than previously developed commercial automated systems, costing an order of magnitude less [4]

Core Points - China has officially submitted the "2035 Nationally Determined Contribution Report" to the UN Framework Convention on Climate Change, outlining its commitment to climate change mitigation and technological innovation [1] - The report sets ambitious targets for reducing greenhouse gas emissions and increasing the share of non-fossil energy consumption by 2035 [1][2] Group 1: Emission Reduction Goals - By 2035, China's total greenhouse gas emissions are expected to decrease by 7% to 10% from peak levels, with a target for non-fossil energy consumption to exceed 30% of total energy consumption [1] - Wind and solar power generation capacity is aimed to reach over six times the 2020 levels, targeting 360 million kilowatts [1] - Forest stock is projected to exceed 24 billion cubic meters, with new energy vehicles becoming the mainstream of new vehicle sales [1] Group 2: Technological and Policy Innovations - The report emphasizes the need for significant scientific research and technological innovation to support climate change mitigation efforts [1][2] - Policies will focus on green low-carbon technology upgrades, promoting green manufacturing and service industries, and establishing a green low-carbon industrial chain [2] - A series of actions will be implemented to enhance the legal framework, greenhouse gas emission control, and climate change adaptation [1][2] Group 3: Ecosystem and Carbon Sink Enhancement - Initiatives will include agricultural emission reduction and carbon sequestration actions, promoting efficient cultivation techniques [2] - The report outlines plans for integrated protection and systematic management of ecosystems, with a target of maintaining at least 3.15 million square kilometers of ecological protection red lines and achieving a forest coverage rate of over 26% by 2035 [2] - A carbon sink monitoring and accounting system will be established to track ecosystem carbon sequestration capabilities [2] Group 4: Climate Change Adaptation - The report calls for enhanced monitoring, early warning, and risk assessment capabilities related to climate change [2] - By 2035, a comprehensive flood prevention and disaster reduction system is expected to be in place, significantly improving flood safety and response capabilities [2] - Restoration efforts for coastal wetlands are projected to cover approximately 50,000 hectares [2]

Core Points - The opening of the gas extraction valve at the Hutu Bi gas storage facility marks the start of winter natural gas supply in China, with over 5 million cubic meters of clean natural gas entering the pipeline [1] - The facility completed a record high of over 3 billion cubic meters of gas injection during the 13th injection cycle, adhering to the principle of maximizing storage capacity [1] - The company has implemented a winter supply plan, ensuring the reliability of gas injection, storage, extraction, and transportation [1] - The Hutu Bi gas storage facility plays a dual role in seasonal peak shaving and emergency gas supply for the northern Xinjiang region, supplying gas to cities like Urumqi and Changji, as well as to major cities along the West-to-East Gas Transmission Project [2] - Since its commissioning in 2013, the facility has successfully completed 13 gas injection cycles and 12 gas extraction cycles, with a cumulative gas injection and extraction volume exceeding 47 billion cubic meters, ranking first in the country [2]

AI知识中心、AI辅导员、基于大模型的创新实践平台……在近日教育部公布的第三批"人工智能+高等 教育"典型应用场景案例遴选结果名单上，一项项成果亮点频出。 从课堂教学的全面革新，到学生培养的精准化升级，这场技术与教育的"联姻"，正在重塑教育教学模 式，推动高等教育向更立体、更精准、更高效的方向迈进。 破解传统教学痛点 以小麦育种领域知名学者、中国科学院院士蔡旭为原型的数字人，与老师们共同授课，为学生们传道授 业、答疑解惑；利用AI技术生成的动画视频，能帮助学生了解一粒种子从发芽、长苗、结果到收获的 完整过程……中国农业大学开发的"神农百晓"大模型是此次公布的典型案例之一。它凭借突出的交互性 和趣味性，让课本知识变成缤纷多彩的"农学世界"，吸引着学生们沉浸其中。 "AI技术与高等教育的融合，突破了传统的教学模式。"中国农业大学信息与电气工程学院副教授王耀君 表示，如今，学生上课积极性不高已成为大学课堂的普遍问题。其核心原因在于课堂内容不够生动、对 学生吸引力不足，教师难以清晰呈现复杂教学场景。 在这一背景下，"神农百晓"大模型的加入，不仅让原本枯燥的理论知识变得更立体、更鲜活，还丰富了 学生的实践渠道，让学生能 ...

"我们研究并打造了分区管理、专用通道人员分流的立体化查验新模式。"深圳边检总站蛇口边检站边防 检查处副处长赵卫东说，乘坐直升机的旅客使用旅检大厅内直升机专用通道实现快速通关，最大限度压 缩了通关时间。 深圳市口岸办副主任姜成峰介绍，这条高时效性"空中走廊"，将促进粤港澳大湾区特别是深港澳三地人 才、资本、信息等要素快速流动与优化配置。 记者了解到，在深圳国际邮轮母港跨境直升机启用前，深港澳三方有关部门就口岸通关方式、航线规 划、标准对接等开展了多轮沟通，确保项目既符合三地法规要求，又符合运营实际，进一步深化了粤港 澳大湾区规则衔接、机制对接。与此同时，为保障直升机旅客便捷通关，深圳边检部门等创新口岸功 能、查验流程、管理机制等，创造"一体两用"的新型口岸形态，这在内地尚属先例。 科技日报讯（记者罗云鹏通讯员陈轩颖）11月6日，两架次跨境直升机搭载首批乘客，先后完成从澳门 国际机场至深圳国际邮轮母港、从深圳国际邮轮母港至香港信德机场的飞行，标志着全国首批"海空一 体"口岸跨境直升机航线正式通航。此次跨境直升机航线开通后，深圳国际邮轮母港至香港、澳门的在 途交通时间将分别缩短至20分钟、15分钟以内。 在航线价格 ...