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美前财长顾问:“我刚从中国回来,美国没有赢”
Zhong Guo Xin Wen Wang· 2026-02-13 08:10
他认为,虽然特朗普大打关税牌,但美国未能在这场贸易战中占得上风。"不管有没有关税,人人都离 不开中国制造。" 在此次中国之行中,拉特纳参观了汽车公司和机器人公司。他指出,福特汽车首席执行官吉姆·法利 2025年夏天访问中国后表示,中国的车载技术"远超"美国车型,中国的进步是他所见过的"最为震撼的 体验"。 中新网2月13日电 "我刚从中国回来,美国没有赢。"近日,曾在美国奥巴马政府时期担任财长顾问的史 蒂文·拉特纳以此为题,在美国《纽约时报》发表评论文章,分享其近期结束的一周访华见闻。 文章指出,中国在人工智能、药物研发等多个领域发展迅速,取得巨大成就。美国与中国竞争绝非易 事,不管有没有关税,人人都离不开中国制造。 文章在开头指出,对美国来说,"中国既是强大的竞争对手,也是至关重要的制造业强国,无法通过外 交手段或激进的政策转变来约束它。" 文章称,美国总统特朗普重返白宫第一年所引发的动荡,已让美国陷入倒退。而中国除制造业之外,在 人工智能和制药研发等行业也实现一系列快速增长。当美国政府试图削减基础研究等重要政府职能开支 时,中国将这些领域列为国家优先事项。 文章指出,中国在人工智能领域的进展令人惊叹。尽管 ...
智元发布新一代全尺寸人形机器人远征A3
Hua Er Jie Jian Wen· 2026-02-13 08:09
市场有风险,投资需谨慎。本文不构成个人投资建议,也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资,责任自负。 风险提示及免责条款 智元机器人正式发布全新一代全尺寸人形机器人远征A3。远征A3系列定位于导览导购、文娱商演等高 频人机互动场景。硬件层面,远征A3系列具备超拟人全身自由度,手臂末端负载达3kg,TCP末端速度 最高可达2m/s,可搭载超拟人、超高自由度灵巧手;全自由度柔性腰部1:1还原人体腰部,超大运动角 度支撑各类极限动作演绎。(界面) ...
蛇年A股十大牛股出炉:上纬新材大涨18倍夺冠 共诞生7只5倍大牛股
Xin Lang Cai Jing· 2026-02-13 08:06
Group 1 - The top-performing stocks in the A-share market during the Year of the Snake include Shangwei New Materials, which saw an increase of over 18 times, and Tianpu Co., which surged by 942% [1] - A total of seven stocks achieved a fivefold increase, while one stock reached a tenfold increase during the Year of the Snake [1] Group 2 - Yunhe Technology (603256.SH) has a current price of 71.60 yuan and a total market capitalization of 62.9 billion yuan, with a growth of 781% [3] - Dingtai Gaoke (301377.SZ) has a market capitalization of 73.6 billion yuan and a current price of 179.57 yuan, showing a growth of 729% [3] - Feiwo Technology (301232.SZ) has a market capitalization of 18.149 billion yuan and a current price of 136 yuan, with a growth of 649% [3] - Shengtong Energy (001331.SZ) has a current price of 52.00 yuan and a market capitalization of 14.6 billion yuan, with a growth of 80% [4] - Chaojie Co. (301005.SZ) has a market capitalization of 21.1 billion yuan and a current price of 157.52 yuan, with significant annual growth [4] - Xianglu Tungsten Industry (002842.SZ) has a current price of 36.38 yuan and a market capitalization of 11.9 billion yuan, with a growth of 467% [4] - Xinyuan Co. (688521.SH) has a market capitalization of 144.8 billion yuan and a current price of 275.50 yuan, with a growth of 462% [4]
蛇年最后一个交易日:沪指失守4100点,超3800只个股下跌,三大指数集体飘绿
Sou Hu Cai Jing· 2026-02-13 08:02
Market Performance - On the last trading day of the Year of the Snake, the three major indices opened lower and subsequently declined, each falling over 1%. The Shanghai Composite Index dropped by 1.26%, closing below 4100 points, while the Shenzhen Component Index fell by 1.28% and the ChiNext Index decreased by 1.57% [1][2]. Yearly Overview - Throughout the Year of the Snake (from February 5, 2025, to February 13, 2026), all three major indices recorded gains. The Shanghai Composite Index increased by over 25%, the Shenzhen Component Index rose by nearly 39%, and the ChiNext Index surged by over 58% [4]. - The total trading volume for the year reached 20 trillion, with over 3800 stocks experiencing declines [4]. Sector Performance - In terms of sector performance, the non-ferrous metals and oil & gas sectors saw the largest declines, while shipping, steel, and building materials also faced downturns. Conversely, sectors such as commercial aerospace, robotics, and memory storage showed resilience and performed well [4].
联合光电与灵智云创签署业务合作框架合同 提供机器人产品的组装加工及相关服务
Ju Chao Zi Xun· 2026-02-13 07:59
Core Insights - The company has signed a business cooperation framework contract with Wuhan Lingzhi Cloud Creation Technology Co., Ltd. to provide robot product assembly and related services, marking a shift from core technology R&D to large-scale production in the robotics industry [1] - Wuhan Lingzhi Cloud Creation, a subsidiary in which the company holds a 34.9951% stake, focuses on the R&D and industrialization of unmanned systems, aligning closely with the company's robotics strategy [1][2] Company Summary - As of December 31, 2025, Lingzhi Cloud Creation has total assets of 15.6967 million yuan, total liabilities of 10.5956 million yuan, and net assets of 5.1011 million yuan, with an operating income of 5.0801 million yuan and a net profit of -10.6163 million yuan [1] - The company has a solid technical foundation and application experience in the robotics field, having launched various robot products for disinfection, logistics, and security patrols, successfully entering key sectors such as hospitals and airports [2] Industry Summary - The global service robot market is projected to reach $40 billion by 2025, with a compound annual growth rate (CAGR) of 17.1%, and commercial service robot shipments exceeding 100,000 units, with Chinese companies holding over 60% of the market share [2] - The collaboration between the company and Lingzhi Cloud Creation covers the complete industry chain from core technology to large-scale production and scene implementation, positioning them to fully benefit from industry growth [2]
A股蛇年行情收官!十大牛股出炉
A股蛇年行情宣告收官。纵观全年行情,仅去年4月初指数遭遇短期波动,随后一路震荡上行,沪指最终收于4000 点上方。 上纬新材蛇年走势 天普股份以943%的涨幅紧随其后。根据公告,天普股份股东中昊芯英已启动独立自主的首次公开发行股票 (IPO)相关工作,现已进入股改阶段。但天普股份提醒,目前公司无开展人工智能相关业务的计划,公司也未与 股东中昊芯英签订任何框架性合作协议或类似协议。 农历蛇年(2025年2月5日至2026年2月13日),上证指数累计上涨25.58%,报收4082.07点;深证成指累计上涨 38.84%,创业板指上涨58.73%,科创综指上涨64.20%。 | 证券代码 | 证券简称 | 区间涨跌幅 | | | --- | --- | --- | --- | | | | [区间首日] 2025-02-05 | | | | | 【区间尾日】2026-02-13 | | | | | [单位] % | | | 000001.SH | 上证指数 | | 25.58 | | 399001.SZ | 深让成指 | | 38.84 | | 399006.SZ | 创业板指 | | 58.73 | | 00068 ...
超级IPO背后,上海国资正在批量胜出
投中网· 2026-02-13 07:46
用超长周期穿越技术波动,在行业最不拥挤的时候成为定价者,而不是追随者。 作者丨簪竹 来源丨 投中网 当多数地方产业基金仍在募资与出手之间摇摆时,上海已在多个关键赛道连续收获确定性回报。 无论是诞生于北京、深圳的硬科技独角兽,还是扎根本土的产业新星,上海国资的身影越来越多出现 在明星企业的股东名单中。"GPU芯片四小龙"齐聚资本市场,Minimax等AI明星登陆港股,印证了 上海在硬科技赛道的精准落子,而其"时间合伙人"的投资耐心则在生物医药领域当中尽显。 港股市场给出了最新注脚。2026年2月,生物医药板块情绪回暖,来自上海的宝济药业股价一度冲高 至150港元,较招股价上涨逾四倍。若将时间线拉回至去年12月,其上市首日便录得129%的涨幅。 站在结果回看,单个项目的账面回报当然值得欢呼,但其出手时点更加值得深入研究。过去几年,一 级市场快速降温,生物医药首当其冲:估值回调、募资趋紧、退出通道收缩,叠加行业从资本驱动转 向技术兑现,大量资金选择观望甚至撤退。真正仍在逆周期下注的长期资本,并不多见。 2024年3月,上海市国资委宣布设立总规模1000亿元的三大先导产业母基金,明确押注集成电路、生 物医药与人工智能 ...
A股收评 | 沪指蛇年涨25%!最牛股浮现
Zhi Tong Cai Jing· 2026-02-13 07:35
Market Overview - The three major indices closed lower today, with the Shanghai Composite Index gaining over 25% and the ChiNext Index rising over 58% for the year [1] - The best-performing stock of the year is Shangwei New Materials, with a cumulative increase of over 18 times [1] - The military industry sector showed strength, with stocks like Andavere, Yaxing Anchor Chain, and Hangfa Power hitting the daily limit [1] - The semiconductor sector also saw gains, with stocks like Weidao Nano and Fuchuang Precision rising over 10% [1] - Conversely, stocks in the computing hardware sector, such as Changxin Bochuang, fell over 10%, and the space photovoltaic concept saw declines, with Shuangliang Energy hitting the daily limit down [1] Future Market Outlook - Guosen Securities anticipates a decline in trading activity due to the long holiday, but expects a reversal in trading volume post-holiday, with an average increase of 22.3% in trading volume in the week following the Spring Festival compared to the week before [1] - Everbright Securities believes the upcoming spring market is promising, with favorable policy and fundamental news expected in the coming months [2] - Huajin Securities also supports the continuation of the spring market, citing potential improvements in economic and profit expectations during the Spring Festival [2] - Overall, institutions are optimistic about technology stocks post-holiday, focusing on sectors with industrial catalysts and performance certainty, such as AI applications, high-end manufacturing, and new energy [2] Fund Flow - Main funds are actively investing in sectors such as semiconductors, marine equipment, and automotive parts, with notable net inflows into stocks like Huasheng Tiancai, Zhaoyi Innovation, and Guofeng New Materials [3] Key News Recap - Trump is reportedly planning to reduce tariffs on certain metals and aluminum due to a "affordability crisis" affecting his support ahead of the midterm elections [4] - The Silver Institute predicts a decline in silver demand in the photovoltaic sector by 2026, but overall silver demand is expected to remain stable due to strong growth in data centers, AI, and automotive electronics [5] - In January, new residential sales prices in first-tier cities fell by 0.3% month-on-month, with variations across cities [6] Market Analysis - Dongwu Securities notes that the A-share market typically exhibits a pattern of "pre-holiday volume contraction and post-holiday volume expansion," with trading volume expected to increase significantly after the holiday [7] - Minsheng Securities indicates that the market may experience differentiation post-holiday, with a potential shift in investment styles, recommending profit-taking before the holiday and prioritizing cyclical assets, technology growth, and high-potential sectors like pharmaceuticals, military, and automotive [8]
真机RL杀疯了,机器人自学20分钟100分,数字孪生封神
3 6 Ke· 2026-02-13 07:32
Core Insights - TwinRL introduces a digital twin-driven reinforcement learning framework that enhances the exploration capabilities of robots in real-world tasks, achieving a 100% success rate in various operations within approximately 20 minutes, while reducing human intervention by over 50% [1][22][36]. Group 1: Technology and Framework - TwinRL is not a simulator but an exploration amplifier and guide, designed to expand the exploration space for robots beyond the limitations of traditional methods [16][15]. - The framework consists of three main components: exploration space expansion, parallel online reinforcement learning in the digital twin, and sim-to-real guided exploration [32][36]. - The exploration space expansion strategy utilizes high-fidelity digital twin environments to generate synthetic trajectories that exceed human demonstration coverage [25][32]. Group 2: Performance and Efficiency - TwinRL demonstrates a significant improvement in exploration efficiency, achieving at least a 30% acceleration in convergence time compared to existing real-world reinforcement learning methods [22][39]. - In experiments, TwinRL maintained a near 100% success rate in both in-distribution and out-of-distribution areas, showcasing its robustness against environmental changes [39][46]. - The framework effectively bridges the gap between offline training and online learning, allowing for a smoother transition and reducing performance degradation during the learning process [39][34]. Group 3: Research Background and Observations - The research highlights that the effective exploration space in real-world VLA reinforcement learning is heavily constrained by the distribution of supervised fine-tuning (SFT) data [27][30]. - The study reveals that traditional reinforcement learning methods struggle with exploration deadlock in out-of-distribution scenarios, emphasizing the need for a broader exploration strategy [30][31]. - TwinRL addresses these challenges by moving the exploration process to a controllable and expandable digital twin environment, allowing for more effective learning [15][36].
一个老人眼中的AI幻象
投资界· 2026-02-13 07:28
Core Viewpoint - The article discusses the illusion of AI in elderly care, highlighting the gap between public expectations and the current capabilities of AI technology in this sector [4][11][23]. Group 1: AI and Elderly Care Expectations - Many individuals across different age groups believe that AI will soon be able to provide care for the elderly, reflecting a widespread hope for technological solutions to aging issues [4][5]. - The perception of AI as a solution to elderly care stems from fears of loneliness and inadequate human support in an aging society, leading to unrealistic expectations about the capabilities of robots [5][6]. Group 2: Historical Context of AI in Elderly Care - Japan's experience with elderly care robots began in the 1970s, with significant investments and developments, yet the actual impact of these robots has been minimal, with usage rates below 2% [6][7]. - Despite the introduction of various robots, such as Pepper, which was marketed as an emotional companion, the reality of their functionality has often fallen short of expectations, leading to their discontinuation [8][12]. Group 3: Real-World Applications and Limitations - Current AI applications in elderly care are primarily focused on software solutions, such as large language models, which assist in managing inquiries and training rather than physical caregiving [12][13]. - The article emphasizes that while AI can enhance certain aspects of elderly care, such as health management and daily reminders, the expectation of fully autonomous caregiving robots remains unrealistic [14][23]. Group 4: Misleading Marketing and Industry Dynamics - The marketing of AI robots often blurs the lines between actual capabilities and consumer expectations, leading to a perception of advanced technology that does not align with reality [16][18]. - Companies in the sector may exploit the term "robot" to market products that do not meet the functional needs of elderly care, contributing to a cycle of false hope [18][19]. Group 5: Future Directions and Ethical Considerations - The article suggests that while the traditional AI functions in elderly care may seem simplistic, they still hold potential for development and improvement [21][22]. - It calls for a more honest dialogue about the capabilities of AI in elderly care, urging the industry to respect the needs and expectations of the elderly rather than perpetuating illusions [23][24].