Group 1 - Hong Kong tech stocks showed strong performance in the afternoon session, with Bilibili (09626.HK) rising over 7% [1] - Alibaba (09988.HK) increased by more than 6.8% [1] - Tencent Music (01698.HK) saw a rise of over 5% [1] Group 2 - Meituan (03690.HK) and Kuaishou (01024.HK) both experienced nearly 4% gains [1] - Tencent Holdings (00700.HK), JD Health (06618.HK), and Baidu (09888.HK) all rose by more than 3% [1]

Core Insights - The opening of the Shenyang Artificial Intelligence Industrial Park marks a significant step in the city's transformation towards embracing the AI era, with 40 companies already settled in the park, covering the entire AI industry chain from chip development to large model applications [2][4] - The project, with a total investment exceeding 10 billion, serves as a new landmark for Northeast China's AI industry and exemplifies the upgrade of traditional industrial bases [4][16] Group 1: Shenyang's Transformation Logic - Shenyang's AI strategy is driven by the need to upgrade its traditional industries and differentiate itself in the competitive landscape of AI development among Chinese cities [5] - The city has been designated as a "national data labeling base construction city," providing a policy foundation for industrial growth, with a goal to cultivate five vertical large models and achieve an AI core industry scale of 100 billion by 2027 [5][8] Group 2: Advantages of Shenyang - Shenyang's rich industrial scenarios, such as personalized production in manufacturing and energy optimization in steel, provide a natural testing ground for AI applications [7] - The city benefits from a strong talent pool, with local universities offering specialized programs, and a lower cost of living compared to first-tier cities, making it attractive for talent retention [7][13] Group 3: Partnership with Baidu - Baidu's comprehensive technology stack, including chips, frameworks, models, and applications, aligns well with Shenyang's industrial needs, facilitating a collaborative approach to AI development [8][10] - The partnership introduces an innovative "four-in-one" model, which includes a high-performance AI infrastructure, a data labeling base, an AI model and data circulation platform, and an application scenario showcase center, creating a complete ecosystem for AI development [10][16] Group 4: Ecosystem Development - The opening of the industrial park is expected to stimulate regional innovation, with the first batch of 40 companies contributing to the AI industry chain and creating job opportunities [11][15] - The establishment of the Baidu Intelligent Cloud (Shenyang) is projected to drive an associated industry scale of 10 billion over the next five years [11] Group 5: Future Prospects - The second phase of the industrial park will expand its influence, incorporating live e-commerce and talent training bases, further enhancing its role as a hub for talent, capital, and innovation [14][17] - Shenyang is positioning itself as the "AI capital of Northeast China," contributing to the broader vision of "Digital Liaoning, Strong Manufacturing Province" [18]

Core Insights - The report by IDC indicates that the Chinese edge cloud market is projected to reach a total scale of 7.39 billion RMB in the second half of 2024, with a year-on-year growth rate of 18.6% [1] - Key drivers for market growth include internet audio and video distribution, real-time interaction, diversified AI training and inference, cloud network services, cloud gaming, and lightweight IT architecture migration for local industry clients [1][2] Market Overview - In the second half of 2024, lightweight model training and related processing in edge environments have become focal points for clients, stimulating rapid growth in the public and dedicated edge cloud service segments, maintaining an annual growth rate close to 20% despite a slowdown in existing demand from the internet sector [3] - Although large-scale data centers have deployed significant heterogeneous computing resources, the actual use of edge heterogeneous resources and products by industry clients remains in the early stages [3] - Major service providers are accelerating the expansion of edge nodes in hotspot areas, offering basic heterogeneous computing leasing, scheduling, and inference API services, while developing two clear growth paths: building large model API aggregation platforms and enhancing edge AI ecosystem collaboration [3][4] Market Outlook - The IDC has updated its long-term growth expectations for the edge cloud market, forecasting a compound annual growth rate of 20.3% from 2024 to 2029 [7] - The focus of clients and service providers has shifted towards edge AI and overseas edge scenarios, which are expected to bring significant incremental growth to the edge cloud market, potentially impacting existing resource structures and service output systems [9] - If services based on multimodal large models and audio-video AI can achieve large-scale promotion in the consumer market, edge cloud will continue to play a unique role in alleviating bandwidth pressure on core backend architecture and reducing long-term operational costs [9]

Core Viewpoint - The article discusses the emergence of "no-code" development platforms, particularly focusing on Baidu's "Miaoda," which allows users to create applications through conversational AI without needing to write any code [1][3]. Group 1: No-Code Development - The introduction of AI Coding has lowered the barriers for individuals to transform ideas into usable products, enabling "zero-code" application development through dialogue with AI [1][3]. - Baidu's Miaoda platform acts as a no-code conversational development tool, where AI assumes roles such as architect and developer to facilitate the development process without any coding [2][3]. Group 2: User Experience and Capabilities - The article raises questions about how users utilize Miaoda for product development, whether the products created can be effectively used or monetized, and what skills are essential in the era of no-code development [8]. - The article invites users to share their experiences with Miaoda during a live session, emphasizing community engagement and feedback [3][7]. Group 3: Expert Insights - The article features insights from Zhu Guangxiang, the General Manager of Baidu Miaoda, who has a strong academic background and extensive experience in various product roles within Baidu [4][5]. - The live session aims to explore the backend capabilities of Miaoda and the overall impact of no-code development on users and industries [8].

Group 1 - The Hang Seng Index has outperformed major global indices with a 32.29% increase from September 24 to July 11, 2024, while US stocks have lagged due to new tariffs and reduced risk appetite [1] - Southbound capital has significantly increased, with a cumulative net purchase of nearly 450 billion HKD, accounting for over 95% of the total net purchases in 2024, and the proportion of southbound trading in total Hong Kong stock trading has reached 60% [3] - The focus of recent southbound investments includes companies like China Construction Bank, SMIC, and Meituan, categorized into high-dividend assets and undervalued technology stocks, reflecting a global trend towards a "barbell" investment strategy [3] Group 2 - The Hang Seng Technology 50 ETF (159750) has shown strong performance, with a price-to-earnings ratio (PE-TTM) of only 19, indicating it is undervalued compared to 99% of the past year [5] - The top ten Chinese technology companies within the ETF have significant weightings, with Xiaomi Group at 10.78%, Tencent Holdings at 9.85%, and Alibaba at 9.21% [5] - The Hong Kong Dividend Low Volatility ETF (520550) has increased by 21.32% year-to-date and has maintained a steady inflow of funds for 20 consecutive weeks, with a current dividend yield exceeding 8% [6][8]

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 今天自动驾驶之心为大家分享 百度最新的工作！ U-ViLAR：基于可微分关联配准 的不确定性感知视觉定位框架！ 如果您有相关工作需要分享，请在文末联系我 们！ 自动驾驶课程学习与技术交流群事宜，也欢迎添加小助理微信AIDriver004做进一 步咨询 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 引言 在城市环境中，建筑物、隧道等障碍物会严重干扰 GNSS（全球导航卫星系统）信号，使得依赖 GNSS 的 定位不够可靠。因此，视觉定位技术在这类场景中显得尤为关键。 传统方法依赖于图像与三维地图的特征匹配，但对视角和光照变化敏感，且大规模三维地图的构建成本 高。主流基于神经网络的端到端定位方法往往会在不同初始范围和定位精度之间权衡，且其精度由视觉感 知的误差和地图匹配本身的误差耦合决定。 作为人类决策系统或自动驾驶端到端规划系统的关键部分，需要支持不同格式的地图并在不同范围内实现 精确定位，且能解耦输出感知不确定度和定位不确定度，用于修正定位精度以及减少在决策系统内的误差 传递。 U-VILAR 通过对感知 ...

（图片来源：摄图网） 7月14日，百度创始人李彦宏在内部高管会上明确表示，"萝卜快跑 Robotaxi 无人驾驶出租车只有转向纯视 觉路线才有机会"。 他强调，百度此前的多传感器融合方案(激光雷达+高精地图)虽然安全性高，但成本和扩展速度受限，而特 斯拉的纯视觉路线一旦成熟，将对现有玩家形成"降维打击"。"如果能尽早地做出规模来，做出用户口碑 来，能够跑通的话，我们的技术路线就有时间迭代到最终的纯视觉路线。但是如果我们不能迅速占领市场， 迅速打磨技术，等到有一天特斯拉这种纯视觉路线真正成熟的时候，可能我们也就没有机会了。" 萝卜快跑是百度Apollo旗下的自动驾驶出行服务平台，2021年在武汉、北京、上海等10余城落地，累计订单 超500万单、测试里程1亿公里，车辆全部采用自研"Apollo 5代"L4套件;2024年，萝卜快跑开始将激光雷达方 案切换为更接近特斯拉的纯视觉路线，目标将单车成本压至25万元以下，同时通过规模化运营反哺算法迭 代。这一转型逻辑与特斯拉如出一辙：用市场换时间，用数据换技术。若百度能在2025年前实现65城覆盖、 2030年拓展至100城，其纯视觉路线的成熟度或将反超特斯拉，形成本土 ...

港股收盘，恒指收涨0.26%，科指收涨0.67%；欧科云链(01499.HK)涨超46%，蔚来汽车(09866.HK)涨超 10.5%，中国神华(01088.HK)涨超5.5%；海底捞(06862.HK)跌超3.6%，百度(09888.HK)跌超2.7%。 ...

Core Insights - Baidu's founder, Li Yanhong, recently adjusted the company's approach to the Robotaxi autonomous driving technology, shifting from a multi-sensor or vehicle-road collaboration route to a pure vision route, emphasizing the urgency to adapt quickly to market demands [1] - The company operates the largest autonomous taxi fleet in China, "Luo Bo Kua Pao," with over 2,000 vehicles and has achieved a positive Unit Economic model in cities like Wuhan, while also pushing for international expansion into cities like Dubai, Tokyo, and Singapore [3] Group 1 - Li Yanhong's internal speech highlighted the need for Baidu to switch to a pure vision route for Robotaxi to remain competitive against Tesla's advancements [1] - The current debate in the autonomous driving sector involves two main technological routes: a hybrid approach using lidar and cameras, represented by Waymo and Baidu, versus a pure vision approach solely relying on cameras, represented by Tesla [1] Group 2 - Baidu's autonomous taxi fleet, "Luo Bo Kua Pao," is the largest in China, with a scale exceeding 2,000 vehicles [3] - The company has successfully implemented a positive Unit Economic model in its operations, indicating a favorable relationship between revenue and costs [3] - Baidu is actively pursuing international expansion for its Robotaxi service, targeting markets in Dubai, Tokyo, and Singapore [3]

Group 1 - The article presents the market capitalization rankings of the top 50 Chinese technology and internet companies as of July 14, 2025 [1] - The leading company by market capitalization is 台棋电 (Taiwan Semiconductor Manufacturing Company) with a valuation of 11,949.75 million [3] - Tencent Holdings ranks second with a market cap of 5,815.18 million, followed by Alibaba at 2,546.4 million [3][4] Group 2 - Xiaomi Group is ranked fourth with a market capitalization of 1,889.61 million, while Pinduoduo follows in fifth place with 1,489.35 million [3][4] - Meituan and NetEase are positioned sixth and seventh, with market caps of 929.41 million and 812.27 million respectively [3][4] - Other notable companies in the top 10 include 东方财富 (East Money) at 523.39 million and 中芯国际 (SMIC) at 476.15 million [4][5] Group 3 - The rankings continue with companies like 京东 (JD.com) at 448.31 million and 快手 (Kuaishou) at 356.11 million [4][5] - Baidu, 理想汽车 (Li Auto), and 贝壳 (Beike) are also included in the top 15, with market caps of 298.84 million, 296.08 million, and 221.89 million respectively [4][5] - The list concludes with 云费智联 (Yunfei Zhili) at 41.76 million, marking the 50th position [6]