Core Insights - The report emphasizes the growing importance of L4 RoboX as a key investment theme in the smart automotive sector by 2026, suggesting a preference for B-end software companies over C-end hardware companies [4] - It identifies specific investment opportunities in both H-shares and A-shares, highlighting companies like Xpeng Motors, Horizon Robotics, and Momenta as preferred choices in the H-share market, while recommending Qianli Technology and Desay SV as top picks in the A-share market [4] - The report outlines various downstream application scenarios, including Robotaxi and Robovan perspectives, and suggests relevant companies for each segment [4] Group 1: Smart Driving Strategies of Major Automakers - The report provides a detailed comparison of smart driving strategies among major domestic automakers, indicating a mix of self-developed and externally supplied technologies [2][3] - It highlights that companies like BYD and Chery are adopting a hybrid model, combining self-research with partnerships with external algorithm suppliers to mitigate risks and control costs [22][23] - The report notes that automakers such as Great Wall and Changan are also pursuing a dual approach of self-research and external collaboration, with specific emphasis on their organizational structures and technology strategies [26][30] Group 2: BYD's Smart Driving Developments - BYD's "全民智驾" strategy aims to shift from standard configurations to a pay-per-use model for smart driving features, reflecting a response to market demand and consumer sensitivity to pricing [7] - The company has established a comprehensive self-research team, integrating various departments to enhance efficiency and innovation in smart driving technology [11] - The latest iteration of BYD's smart driving system, 天神之眼5.0, introduces advanced features such as automatic emergency steering and enhanced obstacle avoidance capabilities [12] Group 3: Geely's Smart Driving Integration - Geely has completed the integration of its smart driving teams under 千里智驾, focusing on consolidating resources and optimizing technology platforms [17] - The company has introduced a tiered smart driving solution, offering various configurations and features across different vehicle models, maintaining a flexible approach to technology deployment [19] - Geely's strategic focus includes leveraging partnerships with algorithm suppliers to enhance its smart driving capabilities while ensuring a robust internal development framework [18] Group 4: Chery's Smart Driving Innovations - Chery has launched the "猎鹰智驾" series, which includes multiple versions of smart driving technology aimed at achieving full scene coverage and enhancing user experience [22] - The automaker has established a dedicated smart driving center to streamline its research and development efforts, integrating various technological components [21] - Chery's strategy involves collaborating with multiple external suppliers while maintaining a strong self-research capability to ensure flexibility and innovation [23] Group 5: Great Wall's Smart Driving Strategy - Great Wall has developed a multi-tiered smart driving platform, with varying levels of computational power and features tailored to different market segments [26][29] - The company is actively exploring partnerships with external algorithm suppliers to enhance its smart driving offerings, while also focusing on internal development [27] - Great Wall's approach includes a clear differentiation between low, medium, and high computational power platforms to cater to diverse consumer needs [26] Group 6: Other Automakers' Strategies - SAIC Group is primarily relying on external suppliers for its smart driving solutions, while also establishing internal research capabilities to enhance product offerings [34][35] - GAC Group is pursuing a dual strategy of self-research and collaboration with partners like Huawei and Momenta to develop advanced smart driving technologies [37] - Leap Motor is focusing on an end-to-end model for its smart driving system, aiming to provide comprehensive features at competitive price points [39]

Investment Rating - The report maintains a positive outlook on the smart automotive sector, particularly emphasizing the L4 RoboX theme for 2026 [4] Core Insights - The report suggests a preference for B-end software companies over C-end hardware companies, recommending specific stocks in both H-shares and A-shares [4] - It highlights various downstream application perspectives, including Robotaxi and Robovan, and identifies key players and their business models [4] - The report also discusses upstream supply chain opportunities, including core suppliers and manufacturing partners [4] Summary by Sections Mainstream Automotive Companies' Smart Driving Technology Solutions - The report provides a comprehensive overview of the smart driving strategies of major automotive companies, detailing their partnerships and technology approaches [5][6][7][15][22][24][30][33] - Companies like BYD, Geely, Chery, and Great Wall are noted for their mixed strategies of self-research and external collaboration, with specific technology and supplier partnerships outlined [7][15][22][24][30][33] BYD's Smart Driving Strategy - BYD has shifted its smart driving approach from standard configuration to a pay-per-use model, emphasizing self-research while maintaining partnerships with algorithm companies [7][8] - The company has launched the "Tianshen Eye 5.0" system, which features advanced capabilities such as emergency steering and obstacle avoidance [12][13] Geely's Smart Driving Team Integration - Geely has completed the integration of its smart driving team under the "Qianli Zhijia" brand, focusing on enhancing its autonomous driving capabilities [15][17][19] - The company has established a structured approach to its smart driving solutions, offering multiple versions with varying hardware and software capabilities [19] Chery's Smart Driving Development - Chery has introduced the "Falcon Smart Driving" strategy, which includes multiple versions of its smart driving system, aiming for comprehensive coverage across various scenarios [22][23] - The company has also consolidated its smart driving R&D teams to enhance efficiency and innovation [22][23] Great Wall's Smart Driving Solutions - Great Wall has adopted a dual approach of self-research and external collaboration, with a focus on enhancing its computing power and algorithm capabilities [26][29] - The company has developed a tiered computing platform to support various levels of autonomous driving features [26][29] Changan's Smart Driving Framework - Changan has implemented a strategy that combines procurement from Huawei with its own smart driving research, aiming for a comprehensive autonomous driving solution [32][33] Other Companies' Strategies - The report also covers the smart driving strategies of other companies such as SAIC, GAC, and Leap Motor, highlighting their partnerships and technological advancements [33][36][38]

Group 1 - The core viewpoint of the article emphasizes the importance of humanoid robots in smart manufacturing and the establishment of a traffic safety civilization system in the era of smart cars [1][5] Group 2 - Humanoid robots are seen as a significant future direction in industry, with predictions indicating that China's humanoid robot shipments may exceed 2.6 million units by 2035, leading to a market size exceeding 140 billion yuan, potentially reaching a trillion-level scale in the long term [3] - To promote the application of humanoid robots in smart manufacturing, it is suggested to accelerate the resolution of engineering application challenges, aiming for a mean time between failures (MTBF) of over 10,000 hours and a task success rate exceeding 99% by 2027 [3][4] - There is a call to expand the application scenarios for humanoid robots, encouraging factories to provide more production positions and support the deployment of humanoid robots in specific production lines [4] - The establishment of safety standards for humanoid robots is crucial, including the implementation of unique coding for humanoid robots to ensure safety during production and operation [4] Group 3 - The rapid development of intelligent driving technology in China presents new challenges to traditional traffic safety systems, necessitating updates in driver training to align with new technologies [6] - Recommendations include accelerating the establishment of intelligent automotive technology standards and optimizing driving assessment projects to incorporate intelligent driving elements [6][7] - There is a need for a multi-party collaborative governance system to enhance traffic safety in the era of intelligent driving, including the integration of L2 level assistance driving into traffic violation penalties [7] - Strengthening public awareness and education on intelligent driving is essential to foster a new culture of safe driving that aligns with the development of smart connected vehicles [7]

Core Viewpoint - The strategic partnership between Youjia Innovation and Ningde Times Intelligent Technology aims to enhance the integration of "smart brains" and "smart carriers" in the intelligent driving sector, leveraging each company's strengths in technology and resources [3][4]. Group 1: Strategic Cooperation - The collaboration is based on principles of "complementary advantages, resource sharing, mutual benefit, and common development," focusing on exploring the global new energy smart vehicle and autonomous driving ecosystem [4]. - Four core areas of cooperation include joint development and application of smart chassis, co-building of battery swapping and mobile power supply technology ecosystems, collaborative innovation based on market needs, and overseas market expansion to enhance brand influence [4]. Group 2: Market Position and Product Strength - Intelligent driving applications are penetrating the passenger car and commercial vehicle markets, with product strength, mass production experience, and a robust ecosystem being decisive factors [5]. - Youjia Innovation's intelligent driving solutions have achieved mass production in various scenarios, including L2 and L4 levels, with 42 automotive manufacturers engaged in mass production by June 30, 2025 [5]. - The L4-level Xiaozhu unmanned vehicle has been deployed in logistics routes in Shenzhen and has received orders from overseas markets, indicating increasing market recognition and accelerating scalable development [5]. Group 3: Future Outlook - Youjia Innovation plans to continue leveraging its self-developed intelligent driving technology and automotive-grade core advantages to accelerate scalable deployment both domestically and internationally, solidifying its position in the intelligent driving and smart logistics sectors for high-quality upgrades [5].

Group 1 - OpenAI's collaboration with the U.S. Department of Defense has led to a significant backlash, with ChatGPT's uninstall rate increasing by 295% and one-star ratings surging by 775% following the announcement [4][5] - Competitor Anthropic saw a 37% increase in downloads for its AI product Claude after announcing it would not collaborate with the U.S. Department of Defense, indicating consumer preference for its stance on AI ethics [4] - ChatGPT's downloads dropped by 13% the day after the collaboration announcement, continuing to decline by 5% the following day, while its one-star ratings increased dramatically [5] Group 2 - BYD's vehicle withstood a missile attack in Israel, sustaining damage but keeping the passengers safe with only minor injuries reported, showcasing the vehicle's durability [7][8] - BYD has established itself as a leading electric vehicle brand in Israel, with the BYD Yuan Plus being the top-selling model, achieving sales of 12,885 units in 2023, a significant increase from 7,000 units in the previous year [8] Group 3 - Alibaba's founder Jack Ma gathered with the core management teams of Alibaba and Ant Group to discuss the challenges and opportunities presented by AI, emphasizing the need for educational reform to adapt to AI advancements [10] - Ma highlighted the importance of fostering creativity and critical thinking in education rather than rote memorization, suggesting that AI can help return education to its core purpose [10] Group 4 - Amazon's AWS faced service interruptions due to drone attacks on its data centers in the Middle East, affecting operations and customer services in several countries [33][34] - The attacks resulted in significant physical damage to the facilities, complicating recovery efforts and leading to prolonged service disruptions [34] Group 5 - The company xAI, founded by Elon Musk, commented on the accusations against Anthropic regarding the alleged misuse of training data, highlighting the ongoing debate about data ethics in AI development [12][13] - The conversation around AI ethics continues to evolve, with various stakeholders voicing their opinions on the implications of AI technology and its applications [12][13] Group 6 - Amazon's acquisition of a university campus for $427 million aims to bolster its infrastructure to support AI business expansion, reflecting the growing investment in AI and technology infrastructure [43][44] - The overall spending on AI and technology infrastructure by companies in 2023 is nearing $630 billion, indicating a strong commitment to scaling operations despite potential market risks [44]

Core Insights - The article discusses the investment strategies in the technology sector, highlighting the rapid evolution from mobile internet to AI, smart devices, and new consumption trends. It emphasizes the historical performance of leading companies in the tech industry and outlines a selection methodology for identifying outstanding stocks in the current and future tech landscape [1]. Agenda Highlights - The session on beauty industry leadership, using Proya as a case study, will be led by the Deputy Director of the Research Institute and Chief Analyst for Food & Beverage and Beauty Research [2]. - A discussion on how to capture high-growth stocks in the electronic semiconductor sector will be presented by the Chief Analyst of Electronic Research [3]. - The session will focus on identifying high-value, high-inflation, and high-barrier segments within the technology supply chain, led by the Chief Analyst of Construction Engineering Research [4]. - A segment on finding the most effective tools in computing will be conducted by the Chief Analyst of Computer Research [4]. - The new directions in military investment, particularly in commercial aerospace, will be explored by the Chief Analyst of Military Research [4].

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不 負 責，對 其 準 確 性 或 完 整 性 亦 不 發 表 任 何 聲 明，並 明 確 表 示，概 不 對 因 本 公 告 全部或任何部分內容而產生或因依賴該等內容而引致的任何損失承擔任何責 任。 Minieye Technology Co., Ltd （於中華人民共和國註冊成立的股份有限公司） 深圳佑駕創新科技股份有限公司 （股份代號： 2431） 自願性公告 與 寧 德 時 代（上 海）智 能 科 技 有 限 公 司 達 成 戰 略 合 作 本 公 告 乃 由 深 圳 佑 駕 創 新 科 技 股 份 有 限 公 司（「本公司」，連 同 其 附 屬 公 司 統 稱 「本集團」）自 願 刊 發。 本 公 司 董 事 會（「董事會」）欣 然 宣 布，本 公 司 近 期 與 寧 德 時 代 新 能 源 科 技 股 份 有 限 公 司（一 家 於 香 港 聯 合 交 易 所 有 限 公 司（股 份 代 號：3750）及 深 圳 證 券 交 易 所 （股 份 代 號：300750）上 市 的 公 司（「寧德時代」））的 附 屬 公 司 寧 德 時 代 ...

Group 1: Company Overview - Shanghai Weiyi Communication Technology Co., Ltd. was established in 2009 and listed on the Shenzhen Stock Exchange in 2017, focusing on providing forward-looking IoT terminal products and solutions globally [2]. - The company covers a wide range of communication networks including cellular, ZigBee, Bluetooth, satellite communication, and NTN, with products spanning automotive, visual, network, AI terminal, livestock, and domestic products [2]. - The headquarters is located in Shanghai, with R&D centers in Shanghai, Shenzhen, and Hefei, and sales and support teams in major global regions, serving customers in over 140 countries [2]. Group 2: Market and Product Development - The company is currently focused on the aftermarket but has plans to enter the original equipment manufacturer (OEM) market with its vehicle gateway product (T-Box), which is already in mass production for engineering machinery [4]. - The animal traceability market is growing, with the company operating a dedicated e-commerce platform for animal traceability products in regions like the USA, Canada, Australia, New Zealand, and South Africa, effectively reducing labor costs and enhancing operational efficiency [5]. - The company has developed products with embedded satellite communication modules for animal traceability, currently in testing and certification stages [5]. Group 3: Competitive Advantages and Risk Management - The company's core competitiveness lies in its software application layer, with encrypted core software code and hardware designed to be difficult to replicate [3]. - To mitigate risks from international market fluctuations, the company has established cooperative production bases in China, Vietnam, and Indonesia, optimizing customer structure and diversifying markets [7]. - The company has made significant progress in domestic substitution of core components, ensuring quality while reducing costs to maintain stable gross margins [7]. Group 4: Future Growth and Innovation - The company anticipates growth driven by the transition from IoT to intelligent connectivity, focusing on expanding its product matrix and application scenarios [8]. - Key growth drivers include: 1. Actively developing new businesses to create a second growth curve [8] 2. Leveraging innovations in AI, edge computing, satellite communication, and other technologies to upgrade product lines [8] 3. Deeply exploring product applications in diverse scenarios to enhance penetration and solution capabilities [8] 4. Optimizing market structure by focusing on leading companies in niche domestic markets and expanding into "Belt and Road" countries [8].

Core Viewpoint - The article highlights the launch of the iCAR V27, a new hard-core SUV equipped with Horizon's HSD (Horizon SuperDrive) technology, which sets a benchmark for intelligent driving capabilities in complex urban environments [3][14]. Group 1: Technical Specifications - The iCAR V27 features the Horizon Journey 6P chip with a computing power of 560 TOPS and is equipped with 27 high-precision sensors, including LiDAR, enhancing the vehicle's perception and decision-making capabilities [5]. - The new BPU architecture developed by Horizon is optimized for real-time inference of Transformer models, allowing for efficient data processing and reduced system latency [5]. - The one-stage end-to-end system, recognized as "China's version of FSD," significantly reduces response times and improves driving smoothness, outperforming human reaction times by 42% [7]. Group 2: Driving Performance - The iCAR V27 demonstrates strong generalization capabilities, allowing it to operate without high-definition maps and city-specific adjustments, providing a consistent driving experience nationwide [8]. - In real-world tests, the vehicle successfully navigated complex traffic scenarios, including heavy congestion in cities like Chongqing and Beijing, showcasing its ability to handle dynamic driving conditions without human intervention [9][11]. - The vehicle's autonomous driving capabilities extend to long-distance travel and off-road conditions, with a parking success rate of 97% and an average parking time of 32 seconds [13]. Group 3: Market Positioning and Collaboration - The iCAR V27 is set to officially launch on March 13, marking the first application of Horizon's HSD technology in the hard-core SUV segment, aiming to redefine consumer expectations in this category [14]. - Horizon has established partnerships with over 10 global automakers and more than 20 vehicle models, demonstrating its growing influence in the intelligent driving market [17]. - The collaboration between iCAR and Horizon aims to deliver differentiated products that meet consumer demands for personalized and value-driven experiences in the electric vehicle market [17].

Core Viewpoint - Proton Auto Technology Co., Ltd. has completed a multi-billion B round financing, with funds aimed at R&D in smart and autonomous driving, operational funding, and global market expansion, enhancing the company's momentum for future capital market entry [1] Group 1: Financing and Company Overview - Proton Auto has completed three rounds of financing, with shareholders including national funds, industrial capital, professional investment institutions, and local state-owned platforms [1] - Established in April 2022, Proton Auto is a key platform for Shaanxi Automobile Group's mixed-ownership reform and its focus on new energy and intelligence [1] Group 2: Technology and Product Development - The R&D system focuses on five dimensions: intelligence, safety, reliability, efficiency, and comfort, using "BAR" (Best Asset Return) as a measurement standard [3] - Proton Auto has delivered over 10,000 vehicles since its inception, with a product lineup that includes six major models tailored for various scenarios such as ports and mountainous areas [3] - The company has achieved L4 closed-road delivery in 2023 and plans to launch a zero-carbon unmanned concept heavy truck, "Yao Ling II," by August 2025, which increases cargo space by 38% [3] Group 3: Market Expansion and International Development - Proton Auto is actively pursuing overseas market development, having received certification for its hydrogen heavy truck in Japan and exporting its first batch of hydrogen tractors to Australia [5] - A strategic cooperation framework agreement was signed with Singapore's SATOMAS ENERGY PTE.LTD, setting a sales target of 300 units [5]