【环球时报报道 记者 陈子帅 杨沙沙 王冬】 编者的话： 2025年，世界科技舞台的聚光灯频频对准中国，其中人形机器人和大模型的表现尤为亮眼。从 DeepSeek以卓越的实用能力引发全球人工智能（AI）开发者社区热议，到多场人形机器人赛事"极限破圈"，再到年底中国AI开源大模型集体"霸榜"国际榜单 ——2025年的中国经济正以AI高科技为新名片迈出国门。多位受访专家表示，中国高科技应用不仅是单项技术偶发突破，更是来自新型举国体制统筹下的 系统集成能力与集群生态优势。 双线领跑，中国 AI 吸引全球聚光灯 "2025年最大的变化，是具身智能和大模型应用都从好看的技术展示，转向能落地的工程体系和产业模式。其中，具身智能行业真正从'实验室表演'走向'工 厂干活、园区干活'的阶段。赛迪研究院未来产业研究中心人工智能研究室主任钟新龙对《环球时报》记者分析称，这一年，以人形机器人产品为具体表现 的具身智能产业关键突破体现在"产业规模化推进和应用闭环能力的显著增强"。 走出实验室，来到聚光灯下，中国人形机器人在2025年的不同"秀场"亮相——2025年央视春晚，宇树科技的人形机器人以"扭秧歌"形式惊艳登台；4月，北 京亦庄 ...

Core Insights - The report emphasizes that the computer industry is driven by model iteration, application breakthroughs, and domestic computing power leadership, with a buy rating for the sector [2][4][17]. Industry Overview - The AI infrastructure sector is transitioning from "testing and trial" to "large-scale rollout in 2026" for domestic AI chip replacements, with a narrowing gap between domestic and international leading models [8][17][26]. - The AI application sector is categorized into three types of companies: those with recognized benchmark clients but in early stages, those with long-term trends but uncertain timelines, and those leveraging AI with reachable inflection points [8][17][19]. - The EDA and R&D software sector is seeing rapid improvement in domestic product capabilities, with mergers and acquisitions expected to accelerate due to policy support [8][17][21]. - In the intelligent driving and robotics sector, the report suggests focusing on competitive chip tracks, overseas expansion, and new autonomous driving opportunities, recommending global AMR leader Geek+ [8][18][21]. - The report notes that traditional trust and innovation directions are facing funding delays, while the release of HarmonyOS PC in 2025 is seen as a catalyst for business growth and technological upgrades [8][18][21]. - The energy information sector is expected to benefit from stable capital expenditures and market reforms, although policy implementation timelines need to be monitored [8][18][21]. Key Companies - In the AI infrastructure sector, recommended companies include Cambricon, Inspur, and Unisoc, with attention to Sugon [8][19]. - For AI applications, notable companies are Jingtaikong, Rainbowsoft, and Kingdee International, with additional focus on Hancloud and Guangyun Technology [8][19][21]. - In the intelligent driving and robotics sector, key players include Geek+, Black Sesame Intelligence, and Rui Ming Technology, with recommendations to monitor Desay SV and SOTER [8][19][21]. - In the EDA and R&D software sector, companies like GigaDevice, Gexin Electronics, and BGI are highlighted, with attention to Zhongkong Technology and Haocen Software [8][19][21]. - For trust and innovation, recommended companies include Kingsoft and Softcom, with additional focus on Taiji Co. and China Software International [8][19][21]. - In the energy information sector, notable companies are Guoneng Rixin and Longxin Group, with attention to State Grid Information and South Grid Digital [8][19][22].

| 品牌 | 正面率 | 高相关 | 信息 | 品牌 | 敏感 | 高相关 | 信息 | | --- | --- | --- | --- | --- | --- | --- | --- | | | (含中性信息)信息总量 | | 总量 | | 信息 | 信息总量 | 总量 | | 核桃编程 | 98.62% | 510 | 17613 | 小盒科技 | 0.53% | 23 | 4313 | | 作业帮 | 98.45% | 3604 | 181539 | 火花思维 | 2.60% | 320 | 1231 | | 火花思维 | 98.27% | 174 | 12312 | 字而思 | 2.73% | 7064 | 2588 | | 科大讯飞 | 97.39% | 1768 | 143473 | × 另 有 | 2.88% | 2868 | 10862 | | 学而思 | 97.14% | 6035 | 258863 | 核桃编程 | 2.96% | 1388 | 1761 | | 猿辅导 | 97.11% | 2911 | 166872 | 作业帮 | 3.07% | 6343 | 18153 | | 保要 ...

（编辑 姚尧） 证券日报网讯 12月12日，埃科光电在互动平台回答投资者提问时表示，截至2025年6月30日，公司研发 人员数量为101人，近三年来人数处于持续增加状态。公司研发团队各学科人才较为完备，核心技术人 员较为稳定。科大讯飞、长鑫存储虽然都对理工科人才有一致需求，但其和公司并不处于同一赛道，因 此目前尚未出现直接争夺同类人才的情况。公司高度重视技术团队，在人才的引进、培养等方面建立了 一整套体系，通过待遇、事业等多维度加强技术团队凝聚力；此外，公司还积极与中科大、合工大等高 校院所建立了产学研合作关系，协同培养更多机器视觉专业领域的高层次人才。 ...

Core Viewpoint - The article discusses the upcoming investment opportunities and risks in the A-share market as the year-end approaches, highlighting the significance of fundamental factors and policy directions for the next year [3][4]. Group 1: Cross-Year Market Logic and Historical Review - The A-share market exhibits seasonal characteristics, with a "cross-year market" being a notable investment window, showing over 70% probability of gains from November to January since 2010, with an average increase of 11.5% for the Shanghai Composite Index and 14.9% for the ChiNext Index during this period [5][6]. - The cross-year market typically lasts about 44 trading days, with historical data indicating varying performance based on previous year's market conditions [6][7]. - Factors contributing to this phenomenon include increased bank credit issuance at year-end, which enhances market liquidity, and positive signals from key policy meetings that boost market expectations [7][8]. Group 2: Special Background for 2024-2025 Cross-Year Market - The current macroeconomic environment presents unique conditions for the upcoming cross-year market, particularly with a moderate internal economic recovery and anticipated liquidity improvements from the Federal Reserve's interest rate cuts [13][14]. - The Federal Reserve has cut rates by 75 basis points throughout the year, signaling a potential end to the rate-cutting cycle, which may ease pressure on the RMB exchange rate [15][17]. - As the first year of the "14th Five-Year Plan," there is heightened policy expectation focusing on technological innovation and new productivity, which may lead to early market movements and increased volatility [17]. Group 3: Investment Opportunities Selection - The article suggests a positive outlook for the new year, emphasizing that internal economic recovery, policy support, and valuation corrections provide a solid foundation for A-shares [18]. - Recommended investment themes include the AI industry, globally competitive high-end manufacturing, and industries benefiting from supply-side optimization [18][20]. - Specific ETFs are highlighted for investment, such as those focusing on AI trends, advantageous manufacturing, and sectors experiencing supply-side improvements, providing efficient tools for investors to participate in the cross-year market [21][26][29].

计算机行业资金流出榜 计算机行业资金流入榜 | 代码 | 简称 | 今日涨跌幅（%） | 今日换手率（%） | 主力资金流量（万元） | | --- | --- | --- | --- | --- | | 002261 | 拓维信息 | 3.07 | 4.93 | 23944.36 | | 002230 | 科大讯飞 | 1.70 | 1.83 | 18363.45 | | 688615 | 合合信息 | 13.80 | 8.88 | 16126.46 | | 300290 | 荣科科技 | 2.17 | 5.91 | 11604.06 | | 300377 | 赢时胜 | 5.16 | 20.53 | 11143.11 | | 002415 | 海康威视 | 0.78 | 0.54 | 10942.22 | | 300033 | 同花顺 | 0.55 | 2.17 | 10160.99 | | 688111 | 金山办公 | 4.02 | 1.66 | 7867.03 | | 002920 | 德赛西威 | 4.80 | 2.28 | 7043.81 | | 300339 | 润和软件 | 2.06 | 3 ...

Core Insights - Morgan Stanley predicts that 25 humanoid robot companies will dominate the industry, with 7 Chinese companies listed [2][3] - The Chinese companies include Baidu, Alibaba, Horizon Robotics, Junsheng Electronics, iFlytek, Desay SV, and Hesai Technology, focusing on various sectors such as AI, automotive, and electronic manufacturing [3][4] - The report emphasizes the importance of component and module suppliers over traditional humanoid robot manufacturers, highlighting the critical role of companies providing AI chips, visual sensors, precision actuators, and power management chips [3][4] Company and Industry Summary - The 7 Chinese companies identified are significant players in their respective fields, with a focus on AI, automotive intelligence, language recognition, and electronic manufacturing [3] - The absence of companies like Yushun and Zhiyuan in the report raised questions about its professionalism, but Morgan Stanley justified this by focusing on the foundational components essential for the humanoid robot industry [4] - The Chinese market has seen the emergence of nearly 150 humanoid robot startups, indicating a growing interest and investment in this sector, regardless of potential market bubbles [4]

Group 1: Brand Innovation - The company launched a brand strategy plan featuring a "1+6+N" brand architecture, with the main brand "China Green Development" at the core, supported by six industrial brands and diverse product and service brands [3] - The "Green Cube" strategic model was introduced to outline the company's strategic logic in value creation, industrial layout, and action paths [3] - The cultural tourism brand "Huamei Shengdi" was recognized in the second batch of the central enterprise brand leadership action, demonstrating the company's commitment to the "lucid waters and lush mountains are invaluable assets" concept [3] Group 2: Technological Innovation - The company is focusing on key core technologies, such as lithium-ion capacitors, which offer advantages like safety, long lifespan, wide temperature range, high power density, and ultra-high cycle counts, providing scalable frequency modulation solutions for the power grid [3] - A joint venture with iFlytek was established to innovate in the field of artificial intelligence, centered around the self-developed AI native smart office platform (Green Boat) [3] - The company aims to provide comprehensive, scenario-based digital transformation products and services through its super-intelligent platform, large model service platform, and data intelligence hub [3] Group 3: Ecological Renewal - During the 14th Five-Year Plan period, the company added 34 new operational and under-construction projects in the renewable energy sector, with a major project in Xinjiang receiving BRE net-zero carbon park certification [3] - All real estate projects achieved 100% green building certification, with 204 green building certifications obtained, including 2 LEED Platinum certifications [3] - The company led the establishment of China's first national technology innovation center in the "dual carbon" field, focusing on green and low-carbon technology [3] Group 4: Biodiversity and Sustainable Development - The company has been recognized as a leader in biodiversity, with projects like the integrated wind and solar project in Xinjiang restoring original vegetation and integrating photovoltaic power generation with livestock production [4] - The Huamei Shengdi project at Qiandao Lake incorporates biodiversity monitoring and education, earning a spot in the UN's "Biodiversity 100+ Global Typical Cases" [5] - Looking ahead to the 15th Five-Year Plan, the company plans to enhance its green development strategy and implement innovation-driven development, promoting the intelligent, green, and integrated development of traditional industries [5]

Group 1 - The core theme of the conference was to showcase China Unicom's strategic layout and practical achievements in the field of artificial intelligence (AI), focusing on policy interpretation, capability release, case sharing, and ecosystem signing [1] - China Unicom aims to integrate "computing, network, data, model, and application" to drive high-quality industrial development through AI, positioning itself as a leader in digital technology innovation [2] - The Beijing Big Data Center plans to enhance the integration of data and AI scenarios, promoting a collaborative ecosystem and ensuring safety and compliance in technology [2] Group 2 - China Unicom, in collaboration with companies like Huawei, Tencent, and others, launched an ecological alliance to build a cooperative AI industry ecosystem focused on shared technology and benefits [3] - Several cooperation agreements were signed between China Unicom and various organizations, including the Higher Education Press and Beijing Zhuangyangliu Hospital, to further enhance AI applications [3]

Core Viewpoint - The research on nanorobots for cancer treatment is advancing, with significant improvements in their ability to deliver drugs precisely to targeted areas within the body, potentially revolutionizing cancer diagnosis, monitoring, and treatment methods [2][3]. Group 1: Nanorobots Research - The team led by Sylvain Martel at the Montreal Institute of Technology has spent over a decade developing nanorobots that can be controlled using MRI technology to deliver cancer drugs directly to tumors [2][3]. - Recent experiments showed that by adjusting the position of pigs in MRI machines, the number of nanorobots reaching the liver increased by nearly three times compared to previous tests [2]. - The research indicates that the technology is nearing practical application in humans, which could lead to innovative methods for cancer treatment, including targeted drug delivery and tumor monitoring [3]. Group 2: Publication and Future Directions - The findings are published in a recent issue of Nature Focus, which explores the application of nanorobots in cancer treatment and other advanced robotics topics [4]. - Future editions of Nature Focus will cover rapidly developing topics in various fields, including robotics and AI, indicating a growing interest and investment in these technologies [5].