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张勇重掌海底捞帅印,“红石榴计划”能否激活“第二曲线”?
Huan Qiu Wang Zi Xun· 2026-01-14 05:26
Core Viewpoint - The return of founder Zhang Yong as CEO of Haidilao signifies a strategic shift aimed at addressing industry challenges and accelerating diversification efforts [1][3]. Management Changes - Zhang Yong resumes the role of CEO, replacing Gou Yiqun, who had been in the position since June 2024. Other executives, including Song Qing and Gao Jie, have also resigned [1]. - Four internal senior managers, Li Nana, Zhu Yinhua, Jiao Defeng, and Zhu Xuanyi, have been appointed as executive directors, reflecting Haidilao's commitment to internal talent development and organizational youthfulness [3]. Strategic Initiatives - Haidilao is entering a "second entrepreneurial" phase, launching the "Pomegranate Plan" to incubate new restaurant brands beyond traditional hot pot offerings. By June 30, 2025, the company has successfully incubated 14 new brands, generating 600 million yuan in revenue, a 227% year-on-year increase [3][4]. - The company is also exploring new dining experiences, such as the first national store of Haidilao Dapaidang hot pot in Guangzhou, which aims to provide a market-style self-selection experience [3]. Financial Performance - In the first half of 2025, Haidilao reported revenues of 20.703 billion yuan, a 3.0% decline year-on-year, and a net profit of 1.755 billion yuan, down 13.7% [4]. - The overall restaurant industry is experiencing slowed revenue growth and profit declines, with competitors like Xiaobai and Xibei also facing similar challenges [4]. Market Reaction and Future Outlook - Zhang Yong's return is viewed positively by industry insiders, who believe it will enhance decision-making efficiency and resource allocation, particularly in executing the "Pomegranate Plan" [5]. - Analysts caution that the real test will be whether the new brands can achieve scalable success and establish a competitive edge in the crowded restaurant market [5].
重要技术突破!在南海1264米水深处,试验成功
Huan Qiu Wang Zi Xun· 2026-01-14 03:46
碍物,并动态规划最优路径。此外,机器人还能携带多种传感器深入地层内部,开展大范围、长周期、 多参数的原位实时监测。 "在刚结束的航次中,我们利用这台机器人在南海完成了目标地层的原位实时监测,获得了2000多组甲 烷浓度、溶解氧和地层结构等数据,有助于我们更好地了解试采区的地质背景。"自然资源部中国地质 调查局广州海洋局工程师朱扬涛说。 来源:科技日报 1月14日,记者从中国地质调查局广州海洋地质调查局获悉,该局自主研发的国内首台"海底地层空间立 体钻探与原位监测机器人",在南海1264米水深海域成功完成试验作业,各项性能全面达标,标志着我 国深海勘探与地层原位监测技术取得重要突破。 该机器人采用模块化多体节设计,并融合惯性导航、磁信标辅助定位与人工智能算法,智能化水平与环 境适应性极大提升。它能够在深海地层内部实现自由钻进与精准定位,可自主避开岩石、生物残骸等障 科技日报记者 操秀英 文中图片由广州海洋地质调查局提供 ...
动物研究表明:与母亲长期接触对后代有益
Huan Qiu Wang Zi Xun· 2026-01-14 01:49
来源:科技日报 法国国家科学研究中心团队此次对24匹从6月龄随访至13月龄的家马开展了脑扫描(包括功能性磁共振 成像),以及一系列生理、社交、认知测试。其中一半的马驹在6月龄时与母亲分离,而另一半马驹直 到实验结束都和母亲在一起。 研究人员观察到,母亲的长期陪伴与多个脑区的成熟度增加有关,包括参与调节社会情感行为的脑区 (前扣带回皮层和压后皮层)以及负责生理调节的脑区(下丘脑和杏仁核)。 他们还发现,与6月龄时与母亲分离的马驹相比,母亲长期陪伴的马驹更善于社交,更爱探索环境,增 重也更多。生理上,母亲长期陪伴与血液循环中的甘油三酯和胆固醇水平较高以及皮质醇水平较低有 关。 科技日报记者 张梦然 最新一期《自然·通讯》发表的一项动物研究显示,与母亲长期接触对后代有益。科学家以马为研究样 本的分析结果表明,这种母子纽带对后代脑结构、功能以及发展社交能力具有潜在积极影响。 对大型社会性哺乳动物来说,参与抚育的成年动物有助后代获得社交技能,这些技能对于后代的生存以 及生殖适合度十分重要。以马为例,证据显示在4—6个月左右断奶时切断这种纽带会给马驹带来长期负 面影响。不过这种影响的原因一直不明确。 ...
江苏提出目标:2027年人工智能产业规模迈过万亿元大关
Huan Qiu Wang Zi Xun· 2026-01-14 01:35
Group 1 - Jiangsu Province has launched an "Artificial Intelligence +" action plan aiming for the AI industry scale to exceed 1 trillion yuan by 2027, focusing on nurturing new intelligent business models and advancing the development of embodied intelligent robotics and autonomous driving applications [1] - The recent listing of two companies from China's "Big Model Six" is seen as a significant step for Chinese AI firms entering the capital market, marking a new phase of competition with international giants [1] Group 2 - The development of large models in China has accelerated over the past two years, with the performance gap between Chinese and American top AI models narrowing from 17.5% in 2024 to just 0.3% last year, according to a Stanford University report [4] - Chinese AI companies are currently compensating for insufficient computing power by increasing model size, which raises energy consumption and hardware costs while complicating system scheduling, leading to diminishing marginal efficiency of computing power [4] - The competition between Chinese and American large model companies is described as "comprehensive," with differences in training data and audience focus, suggesting that domestic companies may be the true competitors for Chinese firms rather than American ones [4]
全球首个“飞行街景”亮相
Huan Qiu Wang Zi Xun· 2026-01-14 01:35
Core Insights - The article highlights the launch of "Flying Street View" by Gaode, which utilizes a self-developed world model to provide immersive and interactive online exploration experiences for users [1][2] - Gaode's world model achieved the highest score in the international benchmark WorldScore, indicating its advanced capabilities in the industry [1] Group 1: Product Features - "Flying Street View" allows users to virtually explore restaurants and attractions, providing a realistic navigation experience through high-fidelity digital rendering technology [1] - The product aims to bridge the gap between online information and offline experiences, enabling users to feel as if they are physically present before visiting [1] - The technology significantly lowers the barriers for businesses to showcase their offerings digitally, transitioning from traditional methods to AI-driven industrial production [1] Group 2: Business Impact - Gaode has launched a "Million Fireworks Good Store Support Plan," investing billions in computing resources to offer "Flying Street View" for free to 1 million businesses, with over 350,000 sign-ups within 48 hours [2] - The feature enhances user experience by allowing them to view store layouts, seating options, and parking availability, thereby reducing the likelihood of poor choices [2] - "Flying Street View" encourages businesses to focus on cleanliness and environmental details, fostering a more trustworthy consumer environment and achieving mutual benefits for users and merchants [2] Group 3: Industry Application - The application of "Flying Street View" has expanded from the restaurant sector to cultural tourism, with notable sites like the Forbidden City offering virtual tours, enhancing digital interaction in the tourism industry [3]
大连一开发商偷偷帮“业主”还贷多年,竟是为了掩盖一桩隐藏16年的秘密
Huan Qiu Wang Zi Xun· 2026-01-14 00:35
来源:半岛晨报 谁能想到 卖房的开发商竟连续多年 偷偷为"业主"偿还抵押贷款 而这一切 竟是为了掩盖一桩隐藏16年的秘密 市民李花全款买下并入住的房子,早已被登记在陌生人名下,还抵押给银行贷出70万元。2009年,李花 付清96万购房款在中山区豪森茗家小区购买了一套房子,却始终拿不到产权证。 真相浮出水面时,荒诞情节令人震惊。开发商将同一套房"一房二卖",买家将房子抵押贷款。为防断贷 导致房屋被拍卖,开发商不得不长期偿还贷款。 全款买的房子产权落在陌生人名下 市民李花遇到一件离奇事:2009年7月,她与一家开发商签订《商品房买卖合同》,以96万元的价格购 买了对方开发建设的、位于中山区智仁街豪森茗家小区的一套商品房。李花向开发商支付了全部购房 款,开发商也开具了专用收款收据,并将房屋交付给李花占有、使用至今。然而,李花却一直未能办理 产权登记手续。 李花手中握有与开发商签订的《商品房买卖合同》、全额付款凭证,且已实际占有、使用房屋长达16 年。2025年6月,大连国际仲裁院作出裁决,要求开发商在裁决生效后协助李花办理房屋所有权证书。 购房16年后业主终获不动产权证书 余钧随后以该房屋作为抵押,向一家银行办理了 ...
新加坡媒体:中国的“AI+”代表着新方向
Huan Qiu Wang Zi Xun· 2026-01-13 23:16
来源:环球时报 新加坡《思想中国》1月12日文章,原题:中国是否已经解决了人工智能治理问题? 在地缘政治背景 下,人工智能(AI)的发展常被描述为一场竞赛——比拼谁能打造出最顶尖的AI模型、最快实现部 署,并成功获取AI红利。但在追求更强AI能力的过程中,许多国家的政府仅获得算力资源,并不能自 动转化为更高的AI能力。原因并不令人意外。提升国家层面的AI能力充满挑战。负责落实政策的机构 往往面临相互冲突的制度性激励,而AI技术发展的速度又远超立法周期步伐。 最后,通过制度实现可预测性。AI的跨学科特性常导致国家AI议程责任分散,中国通过中央统筹和指 定牵头部委来缓解这种"碎片化"问题。可预测性对投资者和创新者都至关重要。清晰的职责划分、明确 的权责边界以及法律确定性,能有效降低监管不确定性,提升合规意愿和长期投资的可能性。 这并非意味着中国已"解决"AI治理问题,也不是说其模式应被其他国家全盘照搬。中国的经验表明,最 困难的问题不是构建AI本身,而是如何在长时间跨度内、在不同机构之间,实现大规模有效治理。AI 领域的真正挑战,在于各国政府能否建立起具备快速学习与适应能力的治理体系,以跟上其所要引导的 技术变革 ...
国际AI人才培养交流会在京圆满落幕 “IDAT for AI”中国区项目正式启动
Huan Qiu Wang Zi Xun· 2026-01-13 11:00
主旨演讲:共绘AI人才培养的宏观蓝图与实施路径 中图数字科技(北京)有限公司政企事业部总经理章辉在开幕致辞中强调了全球化背景下智力协作对科 技创新的关键作用。中国留学人才发展基金会昇·国际教育公益专项基金管委会主任肖睿系统阐述了基 来源:环球网 为深入贯彻国家在人工智能领域的人才培养战略部署,推动全球智力资源整合与协同创新,助力构建高 水平、国际化的AI人才梯队,2026年1月9日,由中国留学人才发展基金会昇·国际教育公益专项基金与 英国伦敦大学学院人工智能中心(UCL AI Centre)联合支持举办的"国际AI人才培养交流会"在北京中 国图书进出口集团大楼成功举行。 本次会议以"国际AI人才培养:全球视野与协同创新"为主题,会议汇聚了中外顶尖学术机构、国际AI领 域学术专家、国央企业代表、教育集团代表、高校代表、中学及国际化学校代表出席,共同探讨国际 AI人才培养及全球AI学术合作机遇。 会上,备受瞩目的国际青少年人工智能创新选拔与培养计划"IDAT for AI"中国区项目正式宣布启动,标 志着国际优质AI教育资源与中国本土人才培养体系的深度融合进入新阶段。该项目是由UCL AI Centre 与IDA ...
全球业界共筑AI人才新生态 国际AI人才培养交流会在京圆满落幕
Huan Qiu Wang Zi Xun· 2026-01-13 09:17
Core Viewpoint - The "International AI Talent Training Exchange Conference" held on January 9, 2026, aims to promote global collaboration in AI talent development and innovation, emphasizing the importance of talent as the foundation for sustainable AI innovation and industry application [1]. Group 1: Conference Overview - The conference was supported by the China Scholarship Talent Development Foundation and the UCL AI Centre, gathering top academic institutions, AI experts, and representatives from various sectors to discuss opportunities in international AI talent cultivation and global academic cooperation [1]. - The theme of the conference was "International AI Talent Cultivation: Global Vision and Collaborative Innovation," focusing on creating a high-level dialogue platform for sharing ideas and solutions for the sustainable development of the global AI talent ecosystem [1]. Group 2: Key Presentations - The welcome address by Zhang Hui, General Manager of Zhongtu Digital Technology (Beijing) Co., emphasized the significance of international intellectual collaboration in technological development during the digital era [2]. - Xiao Rui, Director of the China Scholarship Talent Development Foundation, outlined the foundation's public welfare philosophy and initiatives in AI talent cultivation, including high-level talent introduction and youth AI training programs [2]. - Professor Patrick Baert from the University of Cambridge discussed the profound impacts and ethical considerations of integrating AI into education from a sociological perspective [4]. - Guo Xiaoyan, General Manager of International Talent Resource Service Co., analyzed the urgent demand for high-level tech talent from enterprises and the need for systematic support mechanisms [5]. - Professor Sahan Bulathwela from UCL shared insights on how AI technology can innovate learning methods and enhance educational effectiveness [7]. - Dr. Huang Yutao from Oxford University provided unique perspectives on contemporary youth's career choices and development paths in the context of AI technological transformation [8]. - Professor Xiao Yinan from Peking University elaborated on the main challenges faced by the education sector in the AI era and proposed systematic response strategies [10]. Group 3: Roundtable Discussion - The roundtable discussion focused on how AI can better support educational development, with various cross-disciplinary guests engaging in deep dialogue [12]. - Kellen Chen from IDAT highlighted breakthrough applications of AI in enhancing fairness and precision in educational assessments, driving personalized learning [14]. - Zhang Lu from the China Computer Society shared insights on innovations in technology popularization education in primary and secondary schools [14]. - Han Yue from the Canadian International Education Group discussed strategic layouts in smart teaching within the AI era [14]. - Yena Wang from Beijing Canadian International School explored the value of AI technology in student admission planning and emphasized the importance of personalized care in efficient services [14]. - Professor Gong Ling from Beijing Institute of Fashion Technology discussed the vast prospects of integrating AI with art education to empower the creative industry [14]. - The discussion extended to common challenges and future trends in AI education applications, with a consensus on the need to prioritize human-centered approaches while safeguarding the humanistic core of education [14]. Group 4: Conclusion - The conference concluded with a strong emphasis on the importance of collaboration and shared understanding among participants to build a global AI talent development community [15]. - Attendees expressed a commitment to deepening cooperation to cultivate a new generation of AI talent capable of leading future advancements and responsibilities [15].
LG电子开发HBM混合键合堆叠设备早期版本
Huan Qiu Wang Zi Xun· 2026-01-13 08:57
来源:环球网 【环球网科技综合报道】1月13日消息,据TheElec报道,LG电子正在开发用于高带宽存储器(HBM) 的混合键合堆叠设备(键合机)早期版本。 目前,项目已产出内部测试的原型alpha版本。据消息人士透露,项目当时正处于概念验证阶段,团队 正有条不紊地开展各项测试工作。其中,混合键合工艺的测试是重点之一,团队使用模块和键合头进行 相关测试,力求优化工艺,确保设备性能达到预期。 据称,该项目获得多方支持,Justem也参与其中,负责开发该套件的系统。LG电子生产工程研究所 (PRI)于去年6月正式启动该项目。 报道还称,该项目计划于2029年完成,目标精度设定为200纳米。不过,这一精度规格与Besi公司已实 现商业化的100纳米精度存在差距。消息人士指出,基于这样的精度差异,该键合机在三年后推出时, 可能在HBM领域竞争力不足。(青山) ...