金融界2025年7月30日消息，国家知识产权局信息显示，联想（北京）有限公司申请一项名为"用于子带 非重叠全双工场景中的资源指示的方法及设备"的专利，公开号CN120391084A，申请日期为2023年01 月。 天眼查资料显示，联想（北京）有限公司，成立于1992年，位于北京市，是一家以从事计算机、通信和 其他电子设备制造业为主的企业。企业注册资本565000万港元。通过天眼查大数据分析，联想（北京） 有限公司共对外投资了107家企业，参与招投标项目5000次，财产线索方面有商标信息1751条，专利信 息5000条，此外企业还拥有行政许可238个。 本文源自：金融界 作者：情报员 专利摘要显示，本公开的实施例涉及用于子带非重叠全双工(SBFD)场景中的资源指示的方法及设备。 根据本公开的一些实施例，一种UE可：确定参考区，其中所述参考区包括频域中的一组资源块(RB)及 时域中的一组符号，所述一组符号包含至少一个SBFD符号；及接收下行链路控制信息(DCI)，其指示资 源中的一或多个RB及一或多个符号是否用于DL接收或指示所述资源中的一或多个RB及一或多个符号是 否用于UL传输，其中所述资源的所述频域中的RB ...

金融界7月29日消息，上证指数低开高走，中证港股通TMT主题指数 (港股通 TMT，931026)报4662.29 点。 据了解，中证港股通TMT主题指数从港股通范围内选取50只TMT主题领域的上市公司证券作为指数样 本，以反映相关行业主题上市公司证券的整体表现。该指数以2014年11月14日为基日，以3000.0点为基 点。 从指数持仓来看，中证港股通TMT主题指数十大权重分别为：腾讯控股（14.6%）、小米集团-W （13.92%）、中国移动（13.46%）、中芯国际（8.79%）、快手-W（7.43%）、长和（4.91%）、联想 集团（3.07%）、中国电信（2.86%）、金蝶国际（2.11%）、舜宇光学科技（2.04%）。 从中证港股通TMT主题指数持仓的市场板块来看，香港证券交易所占比100.00%。 从中证港股通TMT主题指数持仓样本的行业来看，通信服务占比55.41%、信息技术占比44.59%。 资料显示，指数样本每半年调整一次，样本调整实施时间分别为每年6月和12月的第二个星期五的下一 交易日。权重因子随样本定期调整而调整，调整时间与指数样本定期调整实施时间相同。在下一个定期 调整日前，权重因 ...

本文源自：金融界 作者：情报员 金融界2025年7月29日消息，国家知识产权局信息显示，联想（新加坡）私人有限公司取得一项名为"当 切换活动上行链路带宽部分时防止传输"的专利，授权公告号CN115023971B，申请日期为2021年01月。 ...

智通财经APP获悉，近日，中信建投发布500多页深度研报，称自ChatGPT 发布后，大模型向更强､更高 效､更可靠方向发展，呈现推理模型深化、智能体模型爆发的格局｡ 2025 年是应用加速落地之年，OpenAI 已达百亿美金ARR， Claude 月收入环比增速超20%｡受互联网大 厂推动AI 与业务结 合､Agent 推出､主权AI 需求及多模态渗透等因素影响，AI 算力消耗从训练转向推 理,带来显著增量，国内算力自主可控趋势 凸显。B端应用渗透率慢于C端，落地顺序由容错率与复杂度 决定，从高容错、单一任务场景到低容错、高复杂度场景尚需时间｡ 但本轮AI渗透较互联网时代大幅提 速，B端落地进程或超预期｡ 中信建投观点认为，大模型继续向更强大、更高效及更可靠的方向发展。回顾人工智能发展的三个阶 段，从符号智能、专用智能迈向通用智 能，2017年之后正处于通用智能阶段。在这个阶段中，以 Transfo r mer架构为基础，训练数据从有标注变为通用无标注数据，学 习方法从过去的有监督学习变成 无监督学习，能力从专用任务扩 展到通用任务，并在算力的加持下，参数量和数据量都急剧变 大，因 而有了今天的大模型。值得 ...

Market Performance - The Hang Seng Index closed at 25,562, up 0.68% with a year-to-date increase of 27.43% [1] - The Hang Seng Tech Index closed at 5,664, down 0.24% with a year-to-date increase of 26.77% [1] - The Dow Jones Index closed at 44,837, down 0.14% with a year-to-date increase of 5.39% [1] Currency and Commodity Overview - The RMB Index is at 95.710, down 0.22% over the last month and down 5.14% over the last six months [2] - Brent crude oil is priced at $69.10 per barrel, up 3.40% over the last month but down 5.59% over the last six months [2] - Gold is priced at $3,338.20 per ounce, up 1.04% over the last month and up 20.77% over the last six months [2] Company News - Alibaba has launched its first self-developed AI smart glasses, Quark Glasses, which integrates features from its ecosystem including Alipay [9] - Lenovo has signed a strategic cooperation agreement with China Telecom to explore AI computing and other fields [10] - Audi reported a 24.27% decline in profit for the first half of the year, adjusting its full-year performance guidance downwards [13] - Tesla has signed a $16.5 billion chip supply agreement with Samsung, aimed at producing next-generation AI chips [14] Trade and Economic Data - Hong Kong's exports grew by 11.9% year-on-year last month, marking the 16th consecutive month of growth, although the growth rate has slowed [11] - The Dallas Fed's manufacturing index rose to 0.9 in July, indicating a recovery in factory activity after five months of decline [15] Stock Performance - China Biologic Products Holdings saw a stock price increase of 7.09%, leading the gainers in the Hang Seng Index [17] - BYD's stock price decreased by 1.16%, with a short-selling ratio of 42.43% [19] - The top-performing sectors in the Hong Kong market included biotechnology and pharmaceuticals, while the automotive sector faced declines [20]

【导读】对话联想创投：在喧嚣与泡沫中寻找具身智能的真实落点 中国基金报记者 莫琳 2025年7月，联想创投周期间，联想创投管理合伙人王光熙、联想创投合伙人林林与媒体进行了一场闭门交流。 王光熙和林林深耕科技投资多年，始终保持审慎立场。在这次交流中，两位谈及AI、具身智能、底层创新和产业协同，数次提及"结构性机会""产业共 振""协同落地"，透露出作为CVC（Corporate Venture Capital：企业风险投资）领军人物的他们，对当下热潮的清晰认知。 机器人不是热点 具身智能的爆发，让机器人成为AI产业中最具"想象力"的一环。人形机器人、工业协作臂、AMR、AGV，甚至AI四足狗，几乎成了2025年初投资界的流 量担当。但在王光熙看来，机器人并非新风口，更像是"AI赋能物理世界"的长期演进节点。 他表示，联想创投在十年前就开始布局机器人方向。其关注的不只是硬件形态本身，而且关乎交互方式的根本性演化。 而是交互变革的延续 "机器人将是联想老本行的最终答案。"联想创投合伙人林林曾在内部这样总结。这个判断并不空泛。作为一家深耕硬件与制造的公司，联想对于输入输出 方式的演进有着天然的敏感性。从键盘屏幕到触摸 ...

Core Viewpoint - The article discusses the insights from Lenovo Ventures on the current state and future of embodied intelligence and robotics, emphasizing the importance of structural opportunities and industry collaboration in the investment landscape [1][3][5]. Group 1: Embodied Intelligence and Robotics - Embodied intelligence is seen as a significant evolution in the AI industry, with robots becoming a key component of this transformation, rather than just a new trend [3]. - Lenovo Ventures has been investing in robotics for over a decade, focusing on the fundamental evolution of interaction methods rather than just hardware [3][5]. - The true value of embodied intelligence lies in its ability to understand, perceive, and engage with complex physical environments, ultimately enhancing human labor roles [3][5]. Group 2: Market Dynamics and Investment Strategy - Since late 2024, embodied intelligence has become a focal point in the capital markets, with rapid valuation increases in projects and significant interest from various industries [5][6]. - Lenovo Ventures highlights that the essence of the current market bubble is not the valuations themselves but the unfulfilled promises of companies [5]. - The firm emphasizes the importance of delivering real capabilities within three to five years to avoid being labeled as a bubble, contrasting with projects that lack systematic advancement [5][11]. Group 3: Cross-Industry Collaboration - The rise of embodied intelligence is characterized by cross-industry collaboration, with capital bringing not just funding but new resource organization methods [6][8]. - Lenovo Ventures aims to create an ecosystem that integrates research, production, supply, sales, and service, enhancing the value of their investments beyond mere capital [7][8]. - The firm has initiated various programs to support early-stage companies, providing manufacturing resources and facilitating connections with Lenovo's business lines [7][8]. Group 4: Future Outlook and Strategic Focus - The next three to five years are expected to be crucial for determining the industry landscape, with a focus on depth rather than speed in investment strategies [11]. - Lenovo Ventures has invested in over 130 specialized companies, with nearly 50% being new unicorns, reflecting a robust investment framework [10]. - The company prioritizes projects with clear technological loops and commercial pathways, aiming for long-term value rather than chasing the hottest trends [11].

Core Insights - The core viewpoint of the articles emphasizes the transformation of China's manufacturing industry through AI, particularly illustrated by the collaboration between Yili and Lenovo, which aims to create a new architecture for AI integration in manufacturing [1][2][4] Group 1: AI Transformation in Manufacturing - Traditional manufacturing faces challenges in integrating advanced technologies while ensuring data security and business continuity, leading to the development of a hybrid AI architecture [2] - Yili's proactive approach in digital transformation includes smart manufacturing, supply chain optimization, and comprehensive marketing, supported by Lenovo's hybrid AI capabilities [2][3] - The collaboration has resulted in the creation of over 600 algorithm models, reshaping the entire production chain from farm management to consumer services [2][3] Group 2: Breakthroughs Achieved - Three major breakthroughs were achieved: redefining "human-machine collaboration" to enhance intelligence rather than speed, creating a consumer-centric business model connecting over 60 million consumers, and establishing an intelligent supply chain that significantly reduces transportation costs and improves delivery efficiency [3] - The integration of digital twin technology and MES systems allows real-time visibility of equipment operation, production line status, and energy consumption data, enhancing production control accuracy [3] Group 3: Practical Implications and Global Relevance - Lenovo's global data indicates a nearly 40% year-on-year increase in AI application within organizations, with some companies experiencing a 31% boost in employee efficiency and operational effectiveness [4] - The partnership between Yili and Lenovo exemplifies a unique path for AI transformation in Chinese manufacturing, balancing the adoption of advanced AI technologies with the need for core capabilities to remain autonomous and controllable [4] - This approach not only addresses the immediate needs of Chinese manufacturing but also offers valuable insights for global manufacturing AI transformations by focusing on architectural restructuring rather than mere acceleration [4]

Core Insights - The core argument of the articles emphasizes that the competitive advantage of Chinese manufacturing in the AI era lies in the ability to restructure the industrial chain rather than just scale and cost efficiency [1][2][5] Group 1: AI Transformation in Manufacturing - The traditional manufacturing sector faces fundamental challenges in AI transformation, particularly in ensuring data security and business continuity while embracing advanced technologies [2][3] - The collaboration between Yili and Lenovo demonstrates a shift from merely adding AI functionalities to existing systems to jointly constructing a hybrid AI architecture [2][3] - Yili's proactive approach in digital transformation across smart manufacturing, supply chain optimization, and marketing showcases the potential of AI to redefine production relationships and business processes [2][3] Group 2: New Business Models and Consumer Engagement - Yili's AI transformation is not just about enhancing existing processes but creating entirely new value creation models, as evidenced by the redefined product safety architecture [5][6] - The introduction of a comprehensive data handling capability allows consumers to access detailed product information, fostering a new trust relationship between the company and consumers [5][6] - Yili's AI applications enable a new service architecture throughout the product lifecycle, allowing for consumer participation in product development and personalized health consultations [5][6] Group 3: Precision and Efficiency in Production - The integration of digital twin technology and MES systems has led to unprecedented precision in production management, ensuring that every product is "100% attentive, 100% safe, and 100% healthy" [6] - Lenovo's data indicates a nearly 40% year-on-year increase in AI application within organizations, with some companies experiencing a 31% boost in employee efficiency and operational effectiveness [6] - The collaboration between Yili and Lenovo exemplifies a unique path for AI transformation in Chinese manufacturing, balancing the adoption of advanced AI technologies with the need for core capabilities to remain controllable [6][7]

Core Viewpoint - The AI terminal industry is undergoing a significant transformation, with smart glasses emerging as a key product that could redefine human-computer interaction and personal data management, potentially becoming the most important mobile entry point after smartphones [2][3]. Group 1: AI Glasses Development - Smart glasses are seen as one of the best carriers for AI implementation, providing practical applications such as calorie counting and navigation [1]. - The "hundred glasses battle" is just the beginning, with smart glasses expected to dramatically increase personal data volume and serve as a sensory hub for human interaction [2]. - Major companies like Rokid and Alibaba are developing advanced features for smart glasses, such as low power consumption, long battery life, and enhanced user experience through innovative technologies [2][3]. Group 2: Traditional Terminals and AI Integration - The integration of AI into traditional terminals is progressing through three stages: app-based AI, functional AI, and systemic AI, with Huawei's HarmonyOS 6.0 entering the third stage [4]. - Lenovo emphasizes the goal of AI terminals to become true "silicon-based twins," fundamentally changing user interaction with technology [5]. - The industry is characterized by a diverse exploration of AI terminals, which will reshape human-computer interaction and expand service consumption boundaries [5][6]. Group 3: Industry Collaboration and Standards - The Ministry of Industry and Information Technology is working on national standards for AI terminal intelligence grading, focusing on innovation, stability, application development, and ecosystem promotion [6]. - Key industry players stress the importance of building a domestic computing foundation and fostering open collaboration to enhance the AI terminal ecosystem [5][6].