Group 1 - SAIC-GM-Wuling and Huawei have upgraded their strategic partnership to deepen cooperation in areas of assisted driving, intelligent cockpit, and smart manufacturing [1] - The collaboration aims to jointly develop new models equipped with Huawei's advanced intelligent technologies, promoting high-quality development in the automotive industry's intelligence and connectivity [1] Group 2 - FAW Hongqi has officially partnered with Huawei, planning to launch models utilizing Huawei's full-stack solutions by 2026, starting with the Hongqi 9 series [3] - This partnership indicates that major state-owned automotive groups in China are joining Huawei's ecosystem, enhancing their competitive edge in the market [3] Group 3 - Traditional automakers possess mature supply chain systems and extensive vehicle development experience, but struggle to adapt to the fast-evolving demands of software-defined vehicles [4] - Huawei's strengths lie in its robust ICT technology foundation, including chips, computing power, operating systems, communication, and AI algorithms, enabling rapid software ecosystem development and iteration [5] Group 4 - The collaboration with Huawei is seen as a pragmatic choice for automakers in the current competitive environment, as failing to partner with a strong technology provider could lead to losing market share [5] - The long-term strategy regarding self-developed intelligent driving and cockpit technologies will depend on each automaker's strategic positioning and technological commitment [5]

Core Viewpoint - SAIC-GM Wuling Automobile Co., Ltd. and Huawei Technologies Co., Ltd. have upgraded their strategic partnership to enhance collaboration in the automotive industry, focusing on intelligent driving, smart cockpit, and smart manufacturing [1] Group 1 - The signing ceremony for the deepened cooperation took place in Liuzhou [1] - The agreement includes joint development of new models equipped with Huawei's advanced intelligent technologies [1] - The collaboration aims to promote high-quality development in automotive intelligence and connectivity [1]

Core Viewpoint - SAIC-GM-Wuling Automobile Co., Ltd. and Huawei Technologies Co., Ltd. have upgraded their strategic partnership to deepen cooperation in the areas of assisted driving, intelligent cockpit, and smart manufacturing [1] Group 1: Partnership Details - The signing ceremony for the enhanced cooperation took place in Liuzhou [1] - The agreement focuses on jointly developing new models equipped with Huawei's advanced intelligent technologies [1] - The collaboration aims to promote high-quality development in the automotive industry's intelligence and connectivity [1] Group 2: Historical Context - SAIC-GM-Wuling and Huawei have been collaborating since 2018 in fields such as industrial internet, cloud computing, and 5G technology [1]

Group 1 - SAIC-GM-Wuling Automobile Co., Ltd. and Huawei Technologies Co., Ltd. have upgraded their strategic partnership through a signing ceremony in Liuzhou on September 6 [1] - The agreement focuses on deepening cooperation in three key areas: assisted driving, intelligent cockpit, and smart manufacturing [1] - Both companies will jointly develop new vehicle models equipped with Huawei's advanced intelligent technologies to promote high-quality development in the automotive industry's intelligence and connectivity [1]

Group 1 - The new AITO M7 is available for pre-order starting at 288,000 yuan, with a promotional offer allowing a 2,000 yuan deposit to offset 5,000 yuan of the final payment until September 23 [1] - The pre-sale of the AITO M7 saw over 100,000 units reserved within the first hour, causing server issues due to high demand [4] - The AITO M7 comes in three versions: Pro+, Max, and Ultra, with prices ranging from 288,800 yuan to 369,800 yuan for electric models, and features a lengthened wheelbase of 3,030 mm compared to the previous model [7] Group 2 - The AITO M7 adopts the latest family design style, closely resembling the AITO M8, and includes advanced features such as the Huawei ADS 4 intelligent driving assistance system [8] - In the first half of 2025, Seres reported a net profit of 2.941 billion yuan, an increase of 81.03% year-on-year, driven by significant sales growth in high-end smart electric vehicles [8] - As of August 2025, the cumulative delivery of the AITO series exceeded 750,000 units, reflecting the strong product capability and delivery performance of the brand [8]

从高空远眺深圳前海与香港北部。 世界知识产权组织本周在香港公布了《2025年全球创新指数》百强创新集群，其中，"深圳—香港—广 州"集群(以下简称"深港穗"集群)，排名全球第一。根据世界知识产权组织的数据，"深港穗"集群在国际 专利申请量、科学论文发表量、风险资本交易量三项核心指标中，均有突出的表现，因而夺得这一榜单 的"头把交椅"。 评估标准加入风险资本交易量 "深港穗"具有显著优势 科技创新的成果，需要通过市场转化形成实质效益。当前市场的共识是，创新领域的竞争，将更加重视 资本运作效率和区域协同发展。 通过研究世界知识产权组织今年发布的报告不难发现，今年的评比竞争十分激烈。"深港穗"集群与"东 京—横滨"集群在国际专利申请量、科学论文发表量等方面不相伯仲。但"深港穗"集群在风险资本交易 量方面的表现具有显著的优势，这也是"深港穗"集群在今年超越"东京—横滨"集群，成为世界第一的关 键所在。 有趣的是，世界知识产权组织的榜单显示，总部位于深圳的华为和总部位于广州的中山大学，分别 是"深港穗"集群内排名首位的专利申请企业和科研机构。与往年相比，今年的排名加入了风险资本交易 量作为评估的标准，而许多东亚国家城市 ...

Group 1 - The "Shenzhen-Hong Kong-Guangzhou" cluster ranks first globally in the 2025 Global Innovation Index, as announced by the World Intellectual Property Organization [1][4] - The cluster excels in three core indicators: international patent applications, scientific publications, and venture capital transactions, with a notable advantage in venture capital transactions [4][11] - Huawei and Sun Yat-sen University are the top patent applicant and research institution, respectively, within the "Shenzhen-Hong Kong-Guangzhou" cluster [4][11] Group 2 - The Hong Kong government emphasizes a four-pillar strategy of "education, technology, talent, and investment" to enhance innovation and technology infrastructure [7][10] - Hong Kong's financial market provides ample venture capital opportunities, supporting the transformation of innovative ideas into tangible results [9][12] - The government has introduced three major funding plans, each involving 10 billion HKD, to support innovation and technology development [10][12] Group 3 - The active venture capital environment in the "Shenzhen-Hong Kong-Guangzhou" cluster is crucial for the development of the technology innovation industry [12][13] - Regional cooperation within the Guangdong-Hong Kong-Macao Greater Bay Area enhances connectivity and synergy between manufacturing and financial sectors [12][13] - The global interest in emerging markets, particularly in technology innovation, is expected to provide further support for the Greater Bay Area's innovation ecosystem [13]

Core Viewpoint - The upcoming sixth generation (6G) wireless networks will operate across a wide frequency range, requiring a universal hardware solution capable of adaptive reconstruction to achieve full-band coverage and dynamic spectrum management [3][4]. Group 1: Research Breakthrough - The concept of a "universal optoelectronic integrated wireless transceiver engine" has been proposed, leading to the successful development of an ultra-broadband optoelectronic integrated chip that overcomes fundamental challenges related to bandwidth, noise performance, and reconfigurability [4]. - This milestone breakthrough is expected to clear key obstacles for the efficient development of terahertz and higher frequency spectrum resources for 6G communication, potentially reshaping the wireless communication landscape and driving significant advancements in the industry [4]. Group 2: Future Network Requirements - Future 6G networks are anticipated to adaptively utilize full spectrum resources to meet the growing demand for ubiquitous information access, supporting diverse application scenarios such as extended reality (XR) and remote surgery [5]. - The system must possess real-time spectrum reconfigurability to ensure efficient spectrum utilization and reliable access in complex spectrum environments, often referred to as intelligent radio [5]. Group 3: Technical Implementation - The research team demonstrated adaptive wireless communication across an unprecedented frequency range exceeding 100 GHz (0.5 GHz to 115 GHz) using a thin-film lithium niobate (TFLN) photonic wireless system [5][6]. - Key functional units, including baseband modulation, broadband wireless-photon conversion, and reconfigurable carrier and local oscillator signal generation, have been integrated on-chip, showcasing high-frequency stability and coherence [6]. - The system achieved a record transmission rate of 100 Gbps over nine continuous frequency bands, marking a significant step towards realizing a full-spectrum, all-scenario wireless network [6].

Group 1 - Huawei successfully registered the "绝界" trademark on August 27, covering key areas such as automotive wheels, seats, electric vehicles, and hybrid/automated driving cars [1] - The registration is part of Huawei's ongoing trademark strategy, which includes over ten trademarks like "仙界," "天界," "君界," "峥界," and "江界," creating a robust brand protection framework [1] - The registration has dual strategic significance: defensive to avoid malicious trademark registrations amid intense competition in the smart automotive sector, and proactive to reserve naming space for advanced driving systems and potential niche markets [1] Group 2 - Huawei is deepening collaboration with car manufacturers through a three-tier cooperation model: providing basic hardware like motors and controllers, offering full-stack solutions for smart cockpits and autonomous driving under the HI model, and leading R&D and sales in the "智选" model [2] - The "智选" model has become a core driver of growth, with partnerships expanding rapidly after the successful validation with the Seres Aito brand, leading to collaborations with Chery, BAIC, Jianghuai, and SAIC [2] - The "鸿蒙智行" alliance aims to build a comprehensive brand matrix, targeting a price range from 150,000 to 1,500,000 yuan, with the youngest model, 尚界H5, set to launch in the fall [1][2]

Core Insights - Huawei launched the UCM inference memory data manager at the Financial AI Inference Application Forum, aiming to enhance AI inference experience and cost-effectiveness while accelerating the positive cycle of AI in business [1][2] - The UCM technology is being piloted in collaboration with China UnionPay in typical financial scenarios, showcasing its application in smart finance [1] Technology Overview - The UCM inference memory data manager consists of three main components: a connector for different engines and computing power, a library for multi-level KV Cache management and acceleration algorithms, and a high-performance KV Cache access adapter [1] - The technology enables a 90% reduction in latency for the first token by directly accessing KV cache data, avoiding redundant calculations [2] - UCM allows for a tenfold expansion of the inference context window, addressing long text processing needs by offloading ultra-long sequence cache to external professional storage [2] Performance Improvements - UCM's intelligent hierarchical caching capability allows for on-demand flow among HBM, DRAM, and SSD storage media based on memory heat [2] - The integration of various sparse attention algorithms enhances the collaboration between computation and storage, resulting in a 2 to 22 times increase in TPS (tokens processed per second) in long sequence scenarios, significantly lowering the inference cost per token [2] - In a pilot with China UnionPay, the UCM technology improved large model inference speed by 125 times, enabling precise identification of customer inquiries in just 10 seconds [2] Future Developments - UCM is set to be open-sourced in September 2023, with a unified interface to adapt to various inference engine frameworks, computing power, and storage systems [2] - The company aims to contribute UCM to mainstream inference engine communities, fostering the development of the AI inference ecosystem across the industry [2]