专利摘要显示，本申请公开了一种界面显示方法、装置、设备及介质，属于人机交互领域。上述方法包 括：在话题互动界面中，显示出彼此独立的多个内容区域，多个内容区域中各个内容区域的面积占比呈 现出第一分布情况，多个内容区域与多个观点一一对应，多个观点是针对同一话题的不同观点，多个内 容区域中每个内容区域用于容纳所对应观点的支持对象发布的内容；响应于当前对象完成投票操作，显 示出更新后的多个内容区域，更新后的多个内容区域中各个内容区域的面积占比呈现出第二分布情况， 第二分布情况与已投票对象在多个观点的数量分布情况相关联。 金融界2025年8月7日消息，国家知识产权局信息显示，腾讯科技（深圳）有限公司申请一项名为"界面 显示方法、装置、设备及介质"的专利，公开号CN120428881A，申请日期为2024年02月。 天眼查资料显示，腾讯科技（深圳）有限公司，成立于2000年，位于深圳市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本200万美元。通过天眼查大数据分析，腾讯科技（深圳）有限公 司共对外投资了15家企业，参与招投标项目263次，财产线索方面有商标信息5000条，专利信息5000 条，此外企业还拥有 ...

Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC) emphasizes the integration of AI technology with various applications, highlighting the potential for significant advancements in the AI+terminal sector over the next three years [2][6]. Group 1: AI+Terminal Trends - The next three years are expected to be pivotal for the AI+terminal sector, particularly in the automotive and mobile phone industries, with significant advancements anticipated in human-machine interaction and application integration [6][8]. - The automotive industry is entering a critical phase, marking the tenth year of smart driving in China, with expectations of substantial changes in technology and product offerings [7][8]. Group 2: Model Evolution - Models are identified as the driving force behind the evolution of the AI industry, with a clear progression in learning paradigms from imitation learning to reinforcement learning and eventually to autonomous learning [9][11]. - The current state of multi-modal models in China is approximately six months behind that of the U.S., although the gap in computational power is widening, indicating a divergence in technological advancement [14][15]. Group 3: Business Model Insights - A sustainable business model must be closed-loop to effectively drive technological progress, emphasizing the importance of integrating technology, product, and commercialization from the outset [16][19]. - Companies focusing on foundational large models must justify significant investments in computational resources, as the long-term profitability of such models is critical for business viability [19]. Group 4: Hardware Opportunities - There are substantial opportunities in hardware beyond just vehicles and smartphones, with a focus on delivering comprehensive AI services through innovative hardware solutions [20][22]. - The future of AI services and operating systems is expected to undergo significant changes, with a shift towards human-machine collaboration and the emergence of new hardware forms driven by AI agents [24][25].

Core Insights - The event "New Species Explosion: Wu Sheng's Business Method Release 2025" focuses on the theme of "Instant Emergence," celebrating the speed and creativity of the AI era while reflecting on the past decade of scene revolution and future prospects [1] - Lenovo's Tianxi Personal Super Intelligent Agent was introduced as a significant advancement in human-computer interaction, positioning itself as the "first entry point for human-computer interaction in the AI era" [1][3] Group 1: Product and Technology Overview - The Personal Super Intelligent Agent captures user intentions, learns habits, and understands emotions, revealing Lenovo's strategic roadmap for AI terminal evolution [3] - The agent features three core functionalities: perception and interaction, cognition and decision-making, and autonomy and evolution, which redefine human-computer collaboration logic [3][4] - Key functionalities of the Tianxi Personal Super Intelligent Agent include AI control, AI translation, AI notes, AI search, and AI services, with over 300 skills for AI control in high-frequency usage scenarios [4][5] Group 2: User Experience and Design - The "Immersive State" of the Personal Super Intelligent Agent emphasizes seamless interaction and proactive service, while the "Accompanying State" breaks down barriers between devices for uninterrupted cross-platform collaboration [4] - The "Emotional State" integrates aesthetic design and emotional care into interactions, transforming AI terminals from mere tools to partners in inspiration [4] - The Lenovo Moto Razr 60 series, featuring the Personal Super Intelligent Agent, is designed with a focus on fashion and craftsmanship, incorporating premium materials and a unique aesthetic [7] Group 3: Market Positioning and Future Outlook - Lenovo's strategy emphasizes a "one body, multiple ends" approach, with the Personal Super Intelligent Agent serving as a core component across various AI devices, including PCs, smartphones, tablets, and AIoT devices [9] - The introduction of the Personal Super Intelligent Agent marks a significant evolution in the relationship between humans and devices, positioning it as a "silicon-based extension" of digital individuals [9] - The event highlights Lenovo's commitment to redefining human-computer interaction and setting new benchmarks for AI terminals in the evolving landscape of technology [9]

来源：光明网 光明网讯8月2日，记者从2025世界机器人大会新闻发布会上获悉，2025世界机器人大会将于8月8日至12 日在北京经济技术开发区北人亦创国际会展中心举办。将有200余家国内外优秀机器人企业带来1500余 件展品，其中首发新品100余款。 本届大会主题为"让机器人更智慧，让具身体更智能"，由中国电子学会、世界机器人合作组织共同主 办，邀请了联合国工业发展组织、国际机器人联合会、世界工程组织联合会等28家国际机构支持，国际 机构数量再创历史新高。 发布会上，中国电子学会理事长徐晓兰就十年来世界机器人大会的推动作用进行了简要介绍。她表示， 十年来，世界机器人大会已成为全球机器人领域的"创新引领盛会" 。2024年，我国机器人专利申请量 占全球机器人专利申请总量的2/3。机器人大模型、智能协同控制、人机交互等核心技术不断突破。我 国作为全球最大工业机器人市场的地位持续巩固，连续12年成为全球最大工业机器人市场，也是全球第 一大机器人生产国。工业机器人应用已覆盖国民经济71个行业大类、236个行业中类，制造业机器人密 度已跃升至全球第三位。 本届大会主论坛设置"产业发展" "创新应用" "技术融合"三大篇 ...

Core Insights - The core viewpoint of the article highlights significant advancements in humanoid robotics in China, positioning the country among the global leaders in this field [1] Technological Innovation - Major breakthroughs have been achieved in core technologies such as large robot models, intelligent collaborative control, human-machine interaction, and multimodal perception [1] - The motion capabilities of domestic robots have been significantly enhanced, with AI control algorithms optimized to achieve millisecond-level action response, improving stability, flexibility, and coherence [1] Industry Development - The sales volume of industrial robots in China has increased from 70,000 units in 2015 to 302,000 units in 2024, maintaining its status as the largest industrial robot market globally for 12 consecutive years [1] - China is the world's largest robot producer, with industrial robot output rising from 33,000 units in 2015 to 556,000 units in 2024 [1]

（文/刘媛媛 编辑/周远方） 未来的机器人到底应该是什么模样？这一命题在刚刚落下帷幕的 2025 世界人工智能大会（WAIC） 上，有了令人耳目一新的答案。 聚光灯下，一位年轻的95后科技创业者站在领奖台上。他身后的大屏幕中，名为"Emo"的人脸机器人正 对着观众微笑。该表情并非预设程序，而是机器人通过AI预测人类情绪后，同步生成的"共情反应"。 这位获奖者，正是抖音精选科技创作者"U航"（本名胡宇航）。他带来的《人机面部协同表达》不仅斩 获WAIC青年优秀论文奖（提名奖），更让公众看到了一种可能：当冰冷的机械被赋予"表情灵魂"，人 机交互的边界正在被重新定义。 而更令人惊叹的是，这项前沿技术的诞生，竟与抖音评论区里百万网友的"脑洞"息息相关。自今年5月 U航在抖音账号首发"Emo"后，引发了不少网友的追更，系列视频总播放量达到约1.5亿次，每条视频下 都有网友认真讨论未来应用场景，为其提供专业的建议和天马行空的灵感。 在哥伦比亚大学读博期间，他的研究就瞄准了一个核心命题：如何让机器人摆脱 "表情僵硬""交互机 械"的传统困境。彼时，学界对人脸机器人的探索常困于"恐怖谷效应"，即越像人却越显诡异，根源在 于机 ...

Core Viewpoint - The emergence of the first robot doctoral student in China signifies a shift in the robotics industry towards enhancing robots' understanding of human behavior, not just their physical capabilities [1][2]. Group 1: Robot Development - The humanoid robot "Xueba 01" has been admitted to Shanghai Theatre Academy as a full-time doctoral student, marking a significant milestone in robotics education [1]. - "Xueba 01" is a successor to "Xingzhe No. 2," which won third place in a robot marathon, showcasing its advanced motion control and sensory technology [1]. Group 2: Understanding Human Behavior - The ability to "understand humans" is becoming a new imperative in the robotics industry, as future robots need to enhance their comprehension of human actions to operate effectively in various environments [2]. - In retail, robots that can analyze customer behavior can recommend suitable products, while in elder care, they can assess health conditions through expressions [2]. Group 3: Future Applications and Challenges - Despite advancements, robots are still some distance from widespread adoption in retail, elder care, and education, with industrial manufacturing expected to be the first major application area [2]. - The current focus is on overcoming technical challenges in precise motion control, but the industry's future growth will depend on robots' ability to understand human interactions [2].

Core Viewpoint - Alibaba's entry into the AI glasses market signifies its commitment to the AI To C strategy, integrating hardware with its existing ecosystem to enhance user experience and functionality [1][2]. Group 1: Product Development and Features - Alibaba's AI glasses, named "Quark AI Glasses," have completed development and are expected to be launched within the year [1]. - The glasses will integrate various Alibaba services, including navigation, payment, and shopping, leveraging the capabilities of the Quark team and the Alibaba ecosystem [1][5]. - Key features include a near-eye display navigation system developed in collaboration with Gaode Map, direct payment via Alipay, and product search and comparison through Taobao [6]. Group 2: Market Context and Competition - The AI glasses market is becoming increasingly competitive, with various players, including consumer electronics giants and specialized AR manufacturers, entering the space [2]. - Industry experts believe that AI glasses will become a crucial product form in smart wearables, acting as an extension of human perception [2]. - The Chinese smart glasses market is projected to reach 2.9 million units by 2025, with Xiaomi already pricing its AI glasses at 1,999 yuan, indicating a trend towards lower product costs [8]. Group 3: User Experience and Challenges - Current challenges for AI glasses include issues with comfort, battery life, and overall user experience, which need to be addressed for widespread adoption [7]. - Alibaba aims to overcome these challenges by collaborating with leading eyewear brands and integrating technology, channels, and services to enhance user experience [7]. - The success of Quark AI Glasses will depend on improving comfort and usability while also considering competitive pricing strategies [8].

Core Insights - Meta's Reality Labs has introduced a non-invasive neuromotor interface for human-computer interaction, utilizing surface electromyography (sEMG) technology [1][3][16] - The interface, designed as a wristband, captures neural signals from the wrist to recognize various gestures without the need for invasive procedures [1][3] Hardware Development - The research team developed a high-sensitivity, easy-to-wear sEMG wristband (sEMG-RD) with a sampling rate of 2kHz and a noise level of 2.46μVrms, featuring a battery life of over 4 hours [4][6] - The wristband is designed to accommodate different wrist sizes and can accurately capture electrical signals from muscles in the wrist, hand, and forearm [4][6] Model Training and Data Collection - The team built a scalable data collection infrastructure, gathering training data from thousands of participants to develop a universal sEMG decoding model [6][12] - Advanced deep learning architectures were employed, including LSTM layers and Conformer architecture, to enhance the model's adaptability to various interaction scenarios [6][12] Performance Metrics - The sEMG interface achieved a median performance of 0.66 gestures per second during continuous navigation tasks, significantly improving operational efficiency [7][9] - In discrete gesture tasks, the detection rate reached 0.88 gestures per second, with handwriting input speeds of 20.9 words per minute [9][12] Application Potential - The technology has broad applications in daily interactions with mobile devices, allowing for seamless input without reliance on traditional methods [13][14] - It offers new interaction methods for individuals with mobility impairments, enabling them to control devices through subtle muscle movements [13][14] Future Prospects - The interface could be utilized in clinical diagnostics and rehabilitation, providing insights into muscle activity and aiding in personalized recovery plans [14][15] - It may redefine human-computer interaction paradigms, potentially becoming a standard for general electronic devices [16][17]

Core Viewpoint - The article discusses the significance of the brain organ chip, which was sent to space aboard the Tianzhou-9 cargo spacecraft, marking the first time such technology has been utilized in a space environment for life sciences research [1][3]. Group 1: Brain Organ Chip Overview - The brain organ chip is a 3D micro-brain model constructed from human pluripotent stem cells, designed to simulate physiological and pathological responses of brain organs [3]. - This chip contains a complex network of brain microvessels, nerve cells, and immune cells, allowing it to mimic certain structures and functions of the human brain, providing a new tool for disease modeling, mechanism research, and drug screening [3]. Group 2: Purpose of Sending to Space - The primary goal of sending the brain organ chip to the space station is to explore the effects of the space environment on human brain health, particularly the impacts of microgravity and radiation on the nervous system [4]. - Research indicates that astronauts often experience symptoms like dizziness, sleep disturbances, and attention deficits, and exposing the brain organ chip to these conditions may help identify underlying mechanisms and potential solutions [4]. Group 3: Broader Implications - The research has implications beyond space, as the unique environment in space can accelerate the onset of aging or functional decline in organisms, providing a unique "accelerated window" for studying diseases that typically take months or years to manifest on Earth [5]. - This could enhance research on neurodegenerative diseases such as Alzheimer's and Parkinson's, facilitating early diagnosis and innovative treatment evaluation methods [5]. Group 4: Distinction from Brain-Machine Interfaces - While both brain organ chips and brain-machine interfaces relate to brain function, they serve different purposes; the former focuses on simulating brain structures and functions for research, while the latter is a technology system for interaction between the brain and devices [6]. - Brain organ chips are aimed at understanding brain development, disease research, and drug screening, whereas brain-machine interfaces are designed for human-device interaction, such as controlling prosthetics with thoughts [6].