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抖音发布科技内容生态报告:2025年AI兴趣用户增长翻倍,数千万用户在抖音学习AI技能
Huan Qiu Wang· 2026-01-07 11:12
1月5日,《2025抖音科技内容生态报告》(以下简称"报告")发布,展现了2025年抖音科技内容生态的 发展与变化。 在广大用户的科技参与热情中,AI受到格外关注。2025年,抖音上掀起 AI 学习浪潮,超千万名用户在 抖音学习并提升 AI 技能,AI 学习类内容观看量增长 200% 。AI 技术走出小众圈层,走入大众视野。 1748 万用户在抖音发布了近 5000 万篇 AI 科技相关内容。抖音已成为 AI 兴趣用户的核心聚集地,这里 不仅有最新的技术动态,更有系统的深度教程和专业解读,平台 AI 兴趣用户数同比增长 105%。 抖音上的 AI 学习热潮覆盖全年龄段人群,其中 18 岁以下青少年的学习热情最高。从老年人学习 AI 工 具便利生活,到青少年通过 AI 创作激发创意,不同年龄段的用户都能在抖音找到适合自己的 AI 学习 路径。 AI 的创造力在抖音充分展现,通过 AI 创作的内容数量和观看量分别实现 185% 和 199% 的快速增长, AI 正逐渐成为内容创作的新范式。 报告显示,过去一年,用户对科技内容的需求明显增长,抖音科技内容全年观看量超 1.4 万亿次,相当 于每位进入抖音的用户每天观 ...
高通发布跃龙 IQ10 系列,以完整技术组合赋能全场景物理 AI 机器人应用
Huan Qiu Wang· 2026-01-07 11:12
Core Insights - Qualcomm has unveiled its next-generation complete technology solution for robotics at CES 2026, integrating hardware, software, and composite AI capabilities, along with the latest high-performance robotics processor, the Qualcomm Snapdragon IQ10 series [1][3] Group 1: Qualcomm's Innovations - The Snapdragon IQ10 series is designed specifically for industrial-grade autonomous mobile robots (AMRs) and advanced full-sized humanoid robots, enhancing Qualcomm's existing robotics product roadmap with a "robotic brain" that combines high performance and energy efficiency [1][3] - Qualcomm's expertise in edge AI and high-performance low-power systems is expected to help developers transition robot prototypes into deployable intelligent devices [1][3] Group 2: Industry Collaboration and Vision - Nakul Duggal, Qualcomm's Executive Vice President, emphasized the importance of reliable, safe, and scalable operation for complex robotic systems, highlighting Qualcomm's foundational technologies that cover various aspects from sensing to execution [3] - Brett Adcock, CEO of Figure, stated that Qualcomm's platform, with its superior computing power and energy efficiency, is a crucial technological foundation for realizing Figure's mission of creating AI-driven humanoid robots to enhance productivity and improve quality of life [3] Group 3: Technological Advancements - The universal robot architecture powered by Snapdragon IQ10 integrates heterogeneous edge computing, edge AI, hybrid safety-critical systems, software, machine learning operations, and AI data flywheel technology, redefining the application possibilities of robotics [4] - This end-to-end solution enables robots to perform environmental reasoning and intelligently adapt to spatial and temporal changes, facilitating scalable deployment with industrial-grade reliability across various robot forms [4] Group 4: Product Demonstrations - During CES, Qualcomm showcased several robot products powered by its technology, including the VinMotion Motion 2 humanoid robot and the Booster K1 geek version robot, demonstrating Qualcomm's leadership in edge AI and commitment to advancing physical AI [4] - The exhibition also featured a commercially available robot development kit from Advantech, supporting rapid development and multi-scenario deployment, along with tools for remote robot control and AI data flywheel for data collection, training, and deployment [4]
高通物联网全栈布局:以边缘 AI 为核心,赋能工业及嵌入式全场景
Huan Qiu Wang· 2026-01-07 11:05
Core Insights - Qualcomm announced the expansion of its IoT product portfolio with the launch of the new Qualcomm Leap Q series processors at CES 2026, aiming to become a preferred provider of edge computing and AI core technologies in the industrial and embedded sectors [1] Group 1: Product Launch and Strategy - Qualcomm introduced two significant IoT processors: the Qualcomm Leap Q-8750, which features 77 TOPS AI computing power and supports real-time inference for large language models, and the Qualcomm Leap Q-7790, which offers 24 TOPS AI computing power for consumer and industrial IoT devices [3] - The company has made five strategic acquisitions, including Augentix and Edge Impulse, to enhance its industrial and embedded IoT offerings, providing a comprehensive solution for developers to accelerate the transition from prototype to large-scale deployment [1][4] Group 2: AI and Imaging Capabilities - The acquisition of Augentix allows Qualcomm to strengthen its position in smart imaging by integrating low-power visual processing chips into its IoT devices, enhancing image clarity and performance [4] - Qualcomm's Qualcomm Insight platform has been upgraded to support smart camera selections, enabling real-time, perceptive data analysis for security and operational teams [4] Group 3: Positioning Services and AI Tools - Qualcomm's ground positioning services leverage over 9 billion Wi-Fi access points and over 100 million cellular towers, providing more than 60 trillion positioning instances annually without relying solely on GNSS satellite systems [5] - The integration of Edge Impulse into Qualcomm's Leap AI local device solutions allows for secure, offline AI inference and training, supporting models with up to 120 billion parameters [5]
骁龙数字底盘强势领跑,高通智能体 AI 重塑未来驾乘生态
Huan Qiu Wang· 2026-01-07 11:05
在旗舰级产品落地方面,高通专为AI定义汽车打造的骁龙座舱平台至尊版与Snapdragon Ride平台至尊版,凭借高性 能计算能力与加速AI性能,获得全球车企的广泛认可,可支持座舱系统与先进驾驶辅助系统(ADAS)中实现具身 智能和智能体智能。目前,高通已与理想、零跑、极氪、长城汽车、蔚来、奇瑞等车企达成全新合作或扩展原有合 作,车型定点总数达到10个。其中,零跑汽车发布了基于这两款平台的高性能汽车中央计算平台,这也是全球首款 采用双骁龙8797打造的中央域控制器;Garmin佳明也宣布将采用骁龙汽车平台至尊版,打造其Nexus高性能计算平 台。 另一款核心产品Snapdragon Ride Flex,作为行业首款可同时支持数字座舱与先进驾驶辅助系统工作负载的量产芯 片,正加速推动汽车行业向中央计算架构转型。截至目前,该芯片已在全球8个量产车型项目中成功部署,助力AI 赋能的座舱功能与驾驶辅助功能快速普及。国内领先的汽车一级供应商车联天下、德赛西威、航盛电子、卓驭科技 等,也明确了基于Snapdragon Ride Flex的舱驾融合解决方案量产计划。 在驾驶辅助领域,高通通过推进自有端到端AI算法研发,同时 ...
李在明最新发帖:再次确认了韩中两国光明而充满希望的未来
Huan Qiu Wang· 2026-01-07 10:45
Group 1 - The core message emphasizes the promising future of Korea-China relations, particularly in Shanghai, which is seen as a hub for innovation and growth [1][3] - The Korean government aims to support entrepreneurs and businesses in both countries to foster innovation and economic expansion, leveraging the achievements of 30 years in venture capital [3] - The event in Shanghai, attended by nearly 300 representatives from various sectors, aims to enhance cooperation between Korean and Chinese innovative enterprises and explore potential business opportunities [3] Group 2 - The forum focuses on sectors such as smart manufacturing, new materials, artificial intelligence, healthcare, cultural creativity, and consumer services, indicating a broad interest in collaborative innovation [3] - The enthusiasm of young entrepreneurs is highlighted as a driving force for transformation and growth in both countries, suggesting a strong emphasis on youth engagement in the entrepreneurial landscape [3]
同程旅行向KPL联赛购票用户致歉
Huan Qiu Wang· 2026-01-07 09:51
Core Points - The company Tongcheng Travel publicly apologized to both the event alliance and users for the ticketing issues experienced during the KPL Spring Season ticket sales [1][3] - The ticket sales for the KPL Spring Season were disrupted due to a surge in traffic that exceeded server capacity, leading to system overload and failure to process ticket purchases [3] - Tongcheng Travel announced that the "Team Home Day Add-on Rights" will be re-listed for purchase on January 8 at 12:00 PM to accommodate users who were unable to buy tickets [1][3] - The company committed to optimizing its system to enhance the ticket purchasing experience for users in the future [3]
以媒:伊朗军方警告将对特朗普和内塔尼亚胡“敌对言论”作出回应
Huan Qiu Wang· 2026-01-07 09:33
伊朗法尔斯通讯社最新消息称,哈塔米7日表示,"伊朗伊斯兰共和国将针对伊朗民族的'敌对言论'升级 视为威胁,绝不会容忍这种行为持续下去而不作出回应。" 2025年12月底,因伊朗货币里亚尔持续贬值,物价快速上涨,部分伊朗商户发起示威活动。目前,示威 已蔓延至伊朗多个省份,美以两国领导人随后相继就此发表干预性言论。伊朗最高领袖哈梅内伊2026年 1月3日表示,有些人打着各种旗号利用伊朗商户的抗议,煽动骚乱,企图破坏国家安全,"绝对不可接 受"。 报道提到,美国总统特朗普近日声称,如果伊朗国内的抗议活动中有更多抗议者死亡,美国将对伊朗进 行"非常严厉的打击"。与此同时,以色列总理内塔尼亚胡也表达了对伊朗境内抗议者的支持。 【环球网报道】据《以色列时报》报道,在美国和以色列公开支持伊朗国内抗议活动后,伊朗武装部队 总司令阿米尔·哈塔米当地时间7日发出警告,称伊朗不会坐视外部势力对其构成威胁。 ...
从科技创新至产业创新:从光谱技术的全景比较,看“中国原创”的力量
Huan Qiu Wang· 2026-01-07 09:33
作者:中国科学院安徽光学精密机械研究所学术所长、中国科学技术大学环境科学与光电技术学院院长 刘文清 近日,《Nano Research》期刊以封面形式发布了一篇光谱仪综述文章,该文章对光谱仪的创新性分类 方法将在未来对光谱仪行业产生深远影响,也为我们在光谱仪设计和制造思路上提供了新的视角,这一 视角可能直接启发应用于环境监测的光谱技术未来走向。 文章题目是《光谱仪设计中的波粒二象性》(The Wave-Particle Duality of Light Manifested in Spectrometer Designs)。文章提出了普适性的光谱仪测光原理公式 I'=P[D[T[I]]],其中I和I'分别是被测 光谱和光谱仪的测量结果;T是光与光谱仪器件的相互作用本质,根据原理被划分为波动性和粒子性两 大类;D是检测器的类型,如光子探测器、光电传感器等;P是光谱仪的后处理过程,分为直读型、傅 里叶变换型、计算重构型等。 波动性光谱仪经过数百年的发展,目前瓶颈已经非常明显:首先,其性能(如分辨率、光通量)与光谱 仪尺寸存在着难以调和的矛盾;同时,波动性光谱仪的性能高度依赖于光学器件的制造精度。精密光谱 仪无法做 ...
长虹发布AI人感空调新品矩阵 感知技术实现新突破
Huan Qiu Wang· 2026-01-07 09:33
Group 1 - The core focus of the article is the launch of Changhong's new "AI Radar Smart Eye" technology, which aims to enhance the smart home experience by transitioning air conditioning from "passive response" to "active perception" [1] - The AI Radar Smart Eye technology features capabilities such as 6-meter long-distance detection, 120-degree wide-area perception, 1-second rapid response, and over 97% recognition accuracy, allowing air conditioning systems to better identify user location and status [1] - The new product lineup includes the second generation of the guest and dining cabinet, which boasts a large airflow of 2050 m³/h and a "dual waterfall four-drive wind control" system for precise air distribution [3] Group 2 - The "Dust-Free Intelligent Wind Wall-Mounted Air Conditioner" integrates 360° dust-free health technology and AI sleep care, with operational noise as low as 16 decibels [3] - Both new products have improved energy efficiency, with the guest and dining cabinet achieving an APF value of 5.30, meeting the national new first-level energy efficiency standard [3] - The home appliance market is currently undergoing a critical phase of technology-driven upgrades, with user demand shifting from basic temperature control to a comprehensive experience [3]
CES 2026:全新产品亮相 Arm聚焦搭建AI算力基础设施
Huan Qiu Wang· 2026-01-07 09:33
Core Insights - The integration of physical AI and edge AI is a central theme at CES 2026, showcasing advancements in various devices from autonomous vehicles to personal computers and wearables [1][3]. Group 1: Automotive Industry - The automotive sector is transitioning from "software-defined" to "AI-defined," with multiple companies implementing high-performance computing platforms based on Arm architecture for real-time vehicle perception, prediction, and decision-making [3]. - Tesla's new AI5 chip, built on Arm, reportedly enhances AI performance by 40 times compared to its predecessor [3]. - Rivian's self-developed autonomous driving platform also utilizes customized Arm chips, while NVIDIA DRIVE Thor supports L4-level autonomous taxi operations [3]. Group 2: Robotics - Robotics technology is moving from laboratory experiments to large-scale commercial applications, demonstrating the practical implementation of physical AI [3]. - Various robots, including wheeled robots, cleaning delivery robots, and humanoid robots, showcased their autonomous operation capabilities in complex environments, relying on Arm's high-efficiency computing platforms [3]. Group 3: Consumer Electronics - Edge AI has become a standard feature in PCs, laptops, and tablets, with the Windows on Arm ecosystem rapidly expanding, expecting over 100 related models to launch by 2026 [4]. - Devices like Apple MacBook, Google Chromebook, and Xiaomi tablets, based on Arm architecture, demonstrate the feasibility of efficiently performing AI tasks locally while achieving high performance and long battery life [4]. - The compact AI workstation NVIDIA DGX Spark, powered by Arm cores, can support local inference for models with 120 billion parameters [4]. Group 4: Wearables and Smart Home - The smart upgrade of wearables and smart home devices reflects the deep penetration of edge AI into daily scenarios, with new smart glasses and health rings utilizing low-power Arm chips for continuous local perception and inference, ensuring user privacy [4]. - Smart home systems are increasingly shifting AI processing tasks to local hubs to address energy efficiency, privacy, and reliability needs [4]. Group 5: Industry Trends - CES 2026 clearly illustrates the trend of intelligent technology integrating into transportation, mobile devices, smart homes, professional workstations, and various robotic applications [4]. - Despite the varying forms of AI across different devices, their reliable operation depends on a high-efficiency and scalable computing foundation [4].