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千寻智能完成近20亿融资,顶级资本天团联合押注,估值强势破百亿
Sou Hu Cai Jing· 2026-02-24 06:19
Core Insights - Qianxun Intelligent, a leading company in embodied intelligence, has successfully completed two rounds of financing totaling nearly 2 billion yuan, injecting strong momentum into the industry [2] - The latest financing round attracted top-tier investors, including Yunfeng Fund, Sequoia China, and various state-owned and private capital, indicating a comprehensive support structure for the company [4][5] - With this financing, Qianxun Intelligent's valuation has surpassed 10 billion yuan, marking its entry into the "billion club" of the embodied intelligence sector, a significant milestone in the industry's development [4] Investment Landscape - The financing reflects a broader trend in the embodied intelligence sector, where companies with strong technological moats and industry penetration are becoming scarce and highly sought after by investors [5][6] - Qianxun Intelligent is unique in attracting diverse industrial capital, creating a "full-scenario ecosystem" that spans various sectors, including manufacturing, logistics, and consumer electronics [5][6] Technological Advancements - Qianxun Intelligent's Spirit v1.5 model has become the first Chinese open-source model to surpass Pi0.5 in performance, showcasing its strong zero-shot generalization capabilities [7] - The company has adopted a "data pyramid" training philosophy, significantly reducing data collection costs by 90% and enabling the large-scale deployment of real-world data [8][11] Commercialization Efforts - The company has launched the world's first humanoid embodied intelligence production line, demonstrating its ability to adapt to production uncertainties and outperform human workers in flexibility [12][14] - Collaborations with major companies like JD.com are expanding the application of its technology in retail, enhancing both technical development and practical applications [12][14] Team and Expertise - Qianxun Intelligent boasts a highly skilled team, often referred to as an "AI dream team," with members from top universities and expertise in various core areas of embodied intelligence [14] - The team's innovative approach and commitment to a "difficult but correct" path have positioned Qianxun Intelligent as a leader in the next generation of embodied intelligence [16]
华为:2025年销售收入超过8800亿元人民币,鸿蒙终端设备数突破4000万!
Mei Ri Jing Ji Xin Wen· 2026-02-24 06:13
图片来源:每经媒资库(资料图) 每经编辑|段炼 马年开工首日,华为董事长梁华在2026广东省高质量发展大会上发表讲话时透露,2025年华为公司销售收入超过8800亿元人民币。 梁华表示,2025年,公司持续做强核心竞争力,战略聚焦;坚持走高质量发展道路,以质取胜;努力为全球客户提供有竞争力的产品和服务,公司整体经 营稳健。 梁华透露,目前,鸿蒙生态正在从可用走向好用,搭载HarmonyOS 5和HarmonyOS 6的终端设备数突破4000万,可获取的原生应用和云服务超过7.5万个, 在金融、电力、能源、交通、通信等行业也得到广泛的应用。另外,目前已有43个业界主流大模型基于昇腾预训练,200多个开源模型适配昇腾生态,推 动6000多个解决方案落地应用。 据第一财经报道,在去年年底,有消息称华为在内部披露具体数据为8809亿元人民币,同比增长2.2%。值得注意的是,该数据为未经审计数据,在每年 的4月,华为将对外披露正式数据。 (免责声明:本文内容与数据仅供参考,不构成投资建议,使用前请核实。据此操作,风险自担。) 编辑|段炼 杜波 校对|许绍航 每日经济新闻综合自证券时报、第一财经 ...
史上第二高,华为2025年销售收入超8800亿元
Feng Huang Wang· 2026-02-24 06:05
2月24日,华为最新年度收入出炉。 数据对比可见,历史峰值出现在2020年,达到8914亿元。此后,由于2020年5月美国对华为的制裁进一步升级,其手机业务遭受重创,并 被迫拆分出售荣耀,导致随后几年营收大幅下滑。 而最新公布的2025年超8800亿元,已成为华为历史上销售收入第二高的年份。 随着手机业务回归正常产品发布的节奏,华为营收逐步回到历史高位,但也意味着后续面临较大的增长压力。 相较2024年22.4%的同比增速,2025年仅微增约2.2%。未来,华为能否突破营收9000亿元大关,实现对历史峰值的超越,仍有待AI算 力、智能汽车等新业务成长为关键增长极。 梁华称,华为将持续加大研发投入, 以一体机、集群、超节点等系列化产品和解决方案满足快速增长的算力需求,构建以昇腾为核心的 AI开放生态;加强鸿蒙生态建设,突破一定规模,实现良好的用户体验;持续投入基础大模型、小艺终端智能体和智能驾驶智能体;聚 焦重点行业和关键场景,打造行业智能体使能平台,通过技术创新和场景创新, 支持伙伴赋能千行百业智能化。 为进一步推动"制造业与服务业"协同创新,为高质量发展提供新动能,梁华还提出了三点意见:"第一,持续夯实数智 ...
3000亿港元AI巨头发力AI编程 公开GLM-5技术细节
Sou Hu Cai Jing· 2026-02-24 06:00
Core Insights - The article highlights the significant breakthroughs achieved by the domestic AI model company, Zhipu, in both capital markets and technological innovation as of early 2026. Zhipu's stock price surged over 15%, with a market capitalization exceeding HKD 300 billion, positioning it as a leader in the Hong Kong TMT sector [1][2]. Market Performance - Zhipu's stock reached a market cap of HKD 323.2 billion on February 20, 2026, surpassing traditional internet giants like JD.com and Kuaishou, marking its ascent to the top tier of the Hong Kong TMT sector [1]. - The AI application sector in Hong Kong showed strong performance, with Zhipu's stock leading the gains [1]. Technological Advancements - Zhipu's GLM-5 model has gained global attention for its capabilities in real-world programming tasks, significantly outperforming previous open-source baseline models [1][2]. - The GLM-5 model has been recognized as the top open-source model in multiple benchmark tests, establishing Zhipu as a key player in the global AI landscape [2][8]. Paradigm Shift in AI Programming - The introduction of GLM-5 signifies a shift from "Vibe Coding" to "Agentic Engineering," redefining AI programming by enabling AI to autonomously handle end-to-end software engineering tasks [4][7]. - This new paradigm allows AI to function as a "virtual engineer," capable of executing complex development tasks without human intervention, thus enhancing productivity in software development [7][8]. Competitive Landscape - The global landscape for Agentic Engineering is evolving, with Zhipu and other domestic startups making significant strides in core technologies and open-source ecosystems [5]. - Major players like Microsoft, OpenAI, and Google DeepMind are currently leading the field, but Zhipu's advancements position it as a formidable competitor [4][5]. Technical Breakthroughs of GLM-5 - Zhipu's GLM-5 has achieved four major breakthroughs: 1. Slime asynchronous reinforcement learning infrastructure, enhancing GPU utilization and training efficiency [23]. 2. AgentRL asynchronous reinforcement learning algorithm, optimizing planning and execution capabilities in dynamic environments [23]. 3. DSA sparse attention mechanism, significantly reducing computation costs while maintaining long-context capabilities [23]. 4. Full-stack adaptation to domestic chips, achieving performance comparable to dual-GPU clusters and reducing processing costs by 50% [23]. Practical Applications - Real-world testing of GLM-5 demonstrated its ability to autonomously create a deployable personal photography website and conduct complex technical analyses, showcasing its practical utility in various scenarios [12][20].
2026年中国智能舒缓穿戴设备行业市场规模、进入壁垒及投资战略研究
Sou Hu Cai Jing· 2026-02-24 05:54
华经产业研究院为助力企业、科研、投资机构等单位了解智能舒缓穿戴设备行业发展态势及未来趋势, 特重磅推出《2026-2032年中国智能舒缓穿戴设备行业发展动态监测及投资机会洞察报告》,本报告由 华经产业研究院研究团队对智能舒缓穿戴设备行业进行多年跟踪研究,使用桌面研究与定量调查、定性 分析相结合的方式,全面解读智能舒缓穿戴设备行业市场,深度挖掘行业潜在商机;科学运用研究模 型,多维度对行业投资风险进行评估后精心研究编制。 智能舒缓穿戴设备是整合智能硬件、传感器、人工智能与大数据技术的可穿戴产品,贴合人体特定部位 设计,通过物理干预或生理数据监测分析,提供放松身心、缓解疲劳疼痛、改善睡眠及情绪调节等服务 的技术集群。它以无创、便携为核心优势,融合物理学、仿生学等多学科原理,可实时捕捉肌肉紧张 度、心率等生理信号,通过AI算法输出个性化舒缓方案,适配日常多场景健康管理需求。 智能舒缓穿戴设备产业链由上游核心元器件与材料供应、中游研发制造与品牌运营、下游渠道服务与场 景应用构成。上游提供传感器、芯片等核心部件,支撑产品基础性能;中游整合技术实现产品化与品牌 化,是产业链核心竞争力所在;下游拓展多渠道与多场景,推动产品 ...
华为董事长梁华:华为2025年销售收入超过8800亿元
Xin Lang Cai Jing· 2026-02-24 05:27
2月24日,在2026广东省高质量发展大会上,华为董事长梁华宣布,2025年华为持续坚持战略聚焦做 强核心竞争力,坚持以质取胜走高质量发展道路,努力为全球客户提供有竞争力的产品和服务。公司整 体经营稳健,2025年全年销售收入超过8800亿元人民币。 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目 的,并不意味着赞同其观点或证实其描述。 责任编辑:李思阳 2月24日,在2026广东省高质量发展大会上,华为董事长梁华宣布,2025年华为持续坚持战略聚焦做 强核心竞争力,坚持以质取胜走高质量发展道路,努力为全球客户提供有竞争力的产品和服务。公司整 体经营稳健,2025年全年销售收入超过8800亿元人民币。 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目 的,并不意味着赞同其观点或证实其描述。 责任编辑:李思阳 ...
千寻智能完成近20亿元融资 估值突破百亿大关
近日,具身智能领域头部企业千寻智能宣布连续完成两轮融资,总金额近20亿元人民币。随着本轮融资 落地,公司估值一举突破百亿元大关,正式跻身具身智能赛道"百亿俱乐部",成为该赛道发展历程中的 重要标志性事件。 本轮融资阵容汇聚了顶级资本、产业巨头与国有资本的多方力量。其中,云锋基金、混沌投资(葛卫 东)、红杉中国等超一线机构重磅入局;Synstellation Capital、TCL创投、明荟投资等产业资本协同加 注;重庆产业投资母基金、杭州金投等国有资本鼎力支持。值得注意的是,顺为资本、Prosperity7、达 晨财智、柏睿资本、弘晖基金等老股东全部选择继续大额认购,持续加码彰显出对公司技术路线与前景 的坚定信心。 商业化方面,全球首条人形具身智能产线已在宁德时代中州基地投运,小墨机器人实现近千块电池零故 障量产,作业节拍媲美熟练工人。同时,公司与京东的合作持续推进,墨子机器人已在零售场景中投入 应用。 本轮融资后,千寻智能将持续加大具身基础模型与真实数据体系投入,深化产业生态共建,推动具身智 能从实验室走向产业纵深。 (文章来源:中国经营报) 截至目前,千寻智能股东阵容覆盖从宁德时代、汇川技术、TCL等工业 ...
华为重回顶峰!销售收入四连升至8800亿元,数十个主流大模型应用昇腾芯片
Jin Rong Jie· 2026-02-24 05:18
| 表格 | | | | | | --- | --- | --- | --- | --- | | 年份 | 销售收入 | 同比 | 净利润 | 营业利润 | | 2019 | 8,588 | | 627 | 778 | | 2020 | 8,914 | +3.8% | 646 | 725 | | 2021 | 6,368 | -28.6% | 1,137 | 422 | | 2022 | 6,423 | +0.9% | રૂટર | 1,044 | | 2023 | 7,042 | +9.6% | 870 | 1,044 | | 2024 | 8,621 | +22.4% | ୧೭୧ | 794 | 股票频道更多独家策划、专家专栏,免费查阅>> 责任编辑:山上 梁华表示,2025年华为整体经营稳健,公司持续做强核心竞争力,战略聚焦;坚持走高质量发展道路,以质取胜;努力为全球客户提供有竞争力的产品和服 务。 目前,鸿蒙生态正在从可用走向好用,搭载HarmonyOS 5和HarmonyOS 6的终端设备数突破4000万,可获取的原生应用和云服务超过7.5万个,在金融、电 力、能源、交通、通信等行业也得到广泛的应用 ...
华为董事长梁华:呼吁更多开发者、合作伙伴加入到昇腾和鸿蒙生态的构建中
Xin Lang Cai Jing· 2026-02-24 05:16
在2026广东省高质量发展大会上,华为董事长梁华呼吁更多开发者、合作伙伴加入到昇腾和鸿蒙生态的 构建中。 在2026广东省高质量发展大会上,华为董事长梁华呼吁更多开发者、合作伙伴加入到昇腾和鸿蒙生态的 构建中。 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目 的,并不意味着赞同其观点或证实其描述。 责任编辑:李思阳 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目 的,并不意味着赞同其观点或证实其描述。 责任编辑:李思阳 ...
华为董事长:去年销售收入8800亿
Guan Cha Zhe Wang· 2026-02-24 05:04
Core Insights - Huawei's sales revenue exceeded 880 billion RMB in 2025, with a 22.4% year-on-year growth in 2024, reaching 862.1 billion RMB [1] - The net profit for 2024 was 62.6 billion RMB, indicating a stable financial performance [1] - Huawei aims for a sales revenue growth rate of approximately 2.1% for 2025, with a first-half growth rate of 3.94% [1] Financial Performance - In 2024, Huawei achieved global sales revenue of 862.1 billion RMB, a 22.4% increase from the previous year [1] - The net profit for the same year was 62.6 billion RMB [1] - R&D expenses in the first half of 2025 reached 97 billion RMB, a 9.1% increase, representing 22.7% of total revenue [1] Strategic Focus - Huawei is committed to strengthening its core competitiveness and focusing on high-quality development [1] - The company aims to provide competitive products and services to global customers [1] - Huawei has over 40 million devices running HarmonyOS5 and HarmonyOS6, with more than 75,000 native applications and cloud services available [1] Industry Applications - Huawei's technologies are widely applied in various sectors, including finance, electricity, energy, transportation, and communication [1] - There are 43 mainstream large models based on Ascend pre-training, with over 200 open-source models adapted to the Ascend ecosystem [1] - The company has implemented over 6,000 solutions in practical applications [1]