企业的目标是智能驾驶技术的研发与商业化落地，但以智能化为核心的新能源汽车"下半场"不 应仅是发展技术，更需要全行业以客观公正的视角去谨慎定义、理性看待。 7月8日，中汽中心、清华大学、华为联合发布《汽车智能驾驶技术及产业发展白皮书》（下 称《 智驾技术 白皮书》）。" 《智驾技术白皮书》 系统梳理了技术演进脉络、产业生态格局 与未来发展趋势，尤其注重对安全保障体系、风险挑战的剖析，既是对行业经验的系统性凝 练，更是以精准角度剖析发展瓶颈，以创新思维擘画破局路径。 希望 《智驾技术白皮书》 能成为'政产学研'各界人士的参考，助力中国自动驾驶产业在技术 攻坚、安全保障、商业落地与社会价值创造中实现新的突破。"中国工程院院士、清华大学车 辆与运载学院教授李骏在《 智驾技术 白皮书》序言中表示。 华为作为《 智驾技术 白皮书》产学研编写组成员中唯一的产业代表，在其中扮演角色的重要 性不言而喻。开源证券研报称，汽车产业已进入技术转换周期，软件在汽车产业的价值不断加 大，华为凭强劲实力深度布局汽车市场，志在打造汽车产业智能化开放平台。"华为ADS智 能 辅助 驾 驶 功能升级，技术生态成型深度赋能，加速行业格局演化。" ...

应对数据安全、算法可靠性等关键挑战。 在近日举办的"大模型金融应用及创新论坛"上，来自金融机构、科技企业和监管机构的众多专家齐聚一 堂，共同探讨了人工智能（AI）和大模型技术在金融领域的应用现状与未来发展方向。 在外资银行方面，东亚银行资讯科技架构平台部总经理张方昌指出，外资银行在AI应用中面临着投入 有限、市场竞争激烈等挑战。然而，通过与全球集团方案的结合和本地化创新，东亚银行在跨境审单等 场景中实现了智能化应用，提升了业务效率和客户体验。 数据、安全与技术难题 尽管应用广泛，金融大模型的深度落地仍面临多重障碍。数据安全与算法可靠性构成首要掣肘。 北京国家金融科技认证中心认证二部负责人段力畑在论坛上发布了《大模型金融应用安全风险测评结 果》。他指出，大模型在金融场景中的应用存在安全能力不足、推理能力与数理计算能力不匹配、幻觉 现象等问题。 中国金融电子化集团党委委员、副总经理潘润红指出，现阶段大模型在金融领域的应用面临数据安全和 算法可靠性等风险、实施路径不明晰、功能边界有待验证、核心场景中的渗透率不足等问题。 论坛聚焦于AI技术如何从降本增效迈向价值创造，以及如何应对数据安全、算法可靠性等关键挑战。 与会 ...

Core Insights - The establishment of the global R&D center marks a significant milestone for the company, enhancing its product development and innovation capabilities while supporting its global strategy [2] - The company aims to recruit over 1,000 R&D personnel within five years to elevate the level of industrial software in China, leveraging the country's manufacturing strengths [3] - The global R&D center will focus on industrial AI, industrial internet platforms, and core industrial software product development, positioning itself as a benchmark in the digital intelligence field [4] Company Developments - The global R&D center will cover an area of 11.72 acres with a total investment exceeding 300 million yuan, featuring a forward-looking design that symbolizes the company's ambition in digital intelligence [4] - The company has accumulated extensive industry experience over 20 years, allowing it to explore AI applications across various sectors, particularly in manufacturing [5] - The R&D center will support the company's goal of providing comprehensive intelligent upgrade solutions for enterprises, facilitating China's transition to high-end, intelligent, and sustainable manufacturing [5]

Investment Rating - The report maintains a positive outlook on the computer industry, recommending stocks such as Baidu, Huawei, and others, with an "Outperform" rating for the recommended targets [5][10][6]. Core Insights - Baidu and Huawei's open-source initiatives are expected to significantly promote the adoption of foundation models, lowering the barriers for R&D and application in AI technology [11][12]. - The State Administration for Market Regulation has approved 7 national standards aimed at standardizing AI and digital services, which will enhance competitiveness and market opportunities for companies in the computer industry [12][13]. - The China Internet Association has initiated standards for algorithm management, which will facilitate the governance of recommendation algorithms and promote compliance within internet platform enterprises [13]. Summary by Sections Open-Source Initiatives - On June 30, Baidu and Huawei announced the open-sourcing of various models, including Baidu's Wenxin 4.5 series and Huawei's Pangu models, which will lower the R&D and application thresholds for AI technologies [11][10]. National Standards - The report highlights the approval of 7 national standards by the State Administration for Market Regulation, which will support the digital economy and enhance the interconnectivity of the computer industry [12][10]. Algorithm Management Standards - The initiation of algorithm management standards by the China Internet Association is expected to advance platform algorithm governance, focusing on compliance and security measures [13][10].

Core Viewpoint - The one-machine market is facing challenges with a lack of new customers and returning clients, leading to a shift in focus towards mid-to-low-end models and a more cautious market approach [2][3][9]. Group 1: Market Dynamics - A recent tender from a state-owned enterprise in Guangdong highlights the unclear demand for one-machine products, with only a few repeat orders from existing clients [2]. - The initial hype around one-machine products has diminished significantly within four months, with many manufacturers struggling to achieve sales despite having products listed [2][3]. - The market consensus indicates that the high-end model market is largely saturated, and future competition will focus on mid-to-low-end models [3]. Group 2: Sales Performance - In the first half of the year, leading hardware manufacturers experienced significant sales, with some reporting nearly 10 billion in revenue and monthly sales of over a thousand units [5]. - The price of one-machine products has increased, with some models seeing price hikes of around 10% within weeks, reflecting a supply-demand imbalance [5][6]. - Companies like Inspur reported a 165.31% year-on-year increase in net profit, driven by strong server sales [5]. Group 3: Customer Relationships - The success of leading manufacturers is attributed to established customer relationships rather than technological advantages, as many large clients have fixed procurement lists [6][7]. - The deployment of one-machine products is primarily driven by strategic needs, with clients focusing on hardware rather than software solutions [7][8]. Group 4: Future Outlook - The second half of the year is expected to see a shift towards a "guerrilla warfare" approach in the mid-to-low-end market, with companies needing to adapt to changing customer budgets and requirements [9][10]. - The demand for high-end models has decreased, with clients now more interested in cost-effective solutions and specific business needs [11]. - The market for one-machine products is becoming increasingly competitive, with new entrants facing challenges in gaining traction [13]. Group 5: Implementation Challenges - Many existing one-machine deployments are not being fully utilized, with clients struggling to see a return on investment [15][16]. - The gap between model capabilities and actual application needs is causing disillusionment among users, leading to a reassessment of the value of one-machine products [16][20]. - Successful implementation often requires a combination of different models and a deep understanding of client data, which many current deployments lack [19][21].

GLM-4.1V-9B-Thinking标志着GLM系列视觉模型实现从感知走向认知的关键跃迁。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 学科解题：支持对数学、物理、生物、化学等学科问题的看图解题，通过推理给出详细的思考过程； 据 IPO 早 知 道 消 息 ， GLM-4.1V-9B-Thinking 凭 借 9B 的 模 型 尺 寸 ， 日 前 成 功 登 顶 HuggingFace Trending第一 。 | Hugging Face | Q Search models, datasets, users ... | | | | | --- | --- | --- | --- | --- | | Models 1,851,126 | Filter by name | Full-text search | Add filters | 1J Sort: Trending | | THUDM/GLM-4.1V-9B-Thinking | | | | | | 15. Image-Text-to-Text . . . : 10B = Updated about 15 ...

Group 1 - The forum focused on national strategic needs and technological frontiers in the fields of pattern recognition and artificial intelligence, gathering nearly 20 experts and representatives from renowned universities, research institutes, and leading enterprises in China [1][3] - The event aimed to foster the cultivation of new productive forces and interdisciplinary integration, injecting new momentum into scientific research innovation and the collaborative development of academic journals [1] Group 2 - Various professors presented specialized reports, including topics such as "3D/4D content creation for arbitrary sparse data," "embodied intelligent robots with emotional intelligence," and "visual perception in unmanned systems" [5][7][11] - A roundtable discussion was held, focusing on new trends and challenges in multimodal large models and generative artificial intelligence, addressing the transformation of research paradigms and talent cultivation in the era of large models [15]

佐力药业（300181）公告，公司与浙江大学签署了《浙江大学-佐力药业智赋食药联合研发中心共建协 议》和《技术开发(委托)合同》，计划投入金额共计2000万元。其中，共建协议涉及1000万元，合同涉 及1000万元。合作旨在利用AI技术研发食药同源垂类大模型与智能体，赋能乌灵菌功能食品/日化用品 等配方和工艺。此次合作有利于强化公司技术护城河，丰富产品矩阵，拓宽C端市场空间，提升产品竞 争力，为公司大健康产业发展注入科技驱动力。 ...

Core Viewpoint - The investment in the plush toy brand "Super Vitality Factory" by the reading group signifies a growing interest in the collectible toy market, driven by the success of Bubble Mart and the potential of IP development in this sector [1][3][5]. Group 1: Investment and Market Dynamics - "Super Vitality Factory" has secured a strategic investment from the reading group, acquiring a 10% stake, marking a significant event in the plush toy industry [1][3]. - The investment reflects a broader trend where major companies are rapidly entering the collectible toy market, following the success of Bubble Mart, which has a market capitalization exceeding 300 billion [5][12]. - The collectible toy market is increasingly seen as a new narrative driven by emotional value, with companies exploring various avenues such as AI companions and virtual stars [3][5]. Group 2: IP Development and Brand Strategy - The success of Bubble Mart is closely tied to its ability to create and manage IP, with a reported revenue of 13.038 billion in 2024, a year-on-year increase of 106.92% [5][12]. - The reading group, with its extensive IP resources, is positioned to leverage its existing content to enhance the collectible toy market, potentially creating a closed-loop system where toys activate consumer engagement [13][28]. - The competitive landscape is shifting towards IP creation, with companies like Lehua Entertainment and its WAKUKU brand aiming to replicate the success of Bubble Mart through strategic partnerships and celebrity endorsements [9][25]. Group 3: Future Trends and Challenges - The future of the collectible toy market may not follow a single path but will likely balance emotional resonance and long-term value, with various models emerging, including traditional IP development, AI-driven companionship, and content-based strategies [29][30]. - The challenge remains in effectively translating literary IP into appealing visual symbols for the younger demographic, ensuring that the products resonate with both fans and casual consumers [28][30]. - The evolving landscape suggests that the next successful brand will be one that can deeply connect with users, transcending mere collectibles to become meaningful emotional companions [29][30].

Group 1 - The establishment of "Zhaofu Technology" marks a significant entry into the L4 autonomous driving sector, with a registered capital of 1.288 billion yuan, focusing on technology development, safety applications, and commercialization [2][3] - The three founding shareholders, Ant Group, Haibo, and CATL, have collectively invested over 3 billion yuan in the initial phase, indicating strong financial backing for the venture [3][4] - The collaboration leverages the strengths of each partner: Haibo's experience in shared mobility, Ant Group's advancements in AI and safety, and CATL's expertise in battery technology [4][5] Group 2 - The local government in Minhang District expresses high expectations for the project, aligning it with the region's focus on integrated circuits and software services, which will enhance technological transformation capabilities [5] - The Robotaxi market is projected to be a trillion-dollar opportunity, attracting various players, including Haibo, which aims to create a multi-layered, adaptable Robotaxi operating platform [7][8] - The market for Robotaxi in China is expected to reach a total scale of 47 billion dollars by 2035, with profitability anticipated starting in 2026 [7][8] Group 3 - Haibo's entry into the Robotaxi market is seen as a strategic move to diversify its offerings, building on its established presence in shared mobility [10][11] - The company aims to implement a differentiated competitive strategy, focusing on domestic markets initially while planning for international expansion [11][12] - The successful commercialization of Robotaxi will depend on reducing operational costs and enhancing consumer acceptance, with Haibo's operational expertise providing a competitive edge [11][12]