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范波会见中国人工智能学会党委书记赵春江一行
Su Zhou Ri Bao· 2026-01-23 23:39
第三届全国人工智能应用场景创新挑战赛总决赛暨全国"人工智能+"应用场景创新大会今天在苏州 开幕。昨天(1月23日),市委书记范波会见了前来参会的中国人工智能学会党委书记、中国工程院院 士赵春江一行。 范波代表市委、市政府对中国人工智能学会给予苏州发展的关心支持表示感谢。他说,当前,苏州 正积极抢抓人工智能发展机遇,全面实施"人工智能+"行动,集中突破关键技术、终端产品、应用场 景,壮大产业规模,加快建设"人工智能+"城市。中国人工智能学会是智能科学技术领域的重要学术团 体,与苏州合作空间广阔。希望学会和各位院士充分发挥学术优势、资源优势,进一步加强与苏州交流 合作,围绕产业发展多提宝贵意见,并推动更多人工智能项目、技术、人才落地,助力苏州加快发展新 质生产力。苏州将不断优化服务保障,推动双方合作结出更多硕果。 赵春江对苏州给予中国人工智能学会的支持帮助表示感谢。他说,苏州产业体系完备、应用场景丰 富、创新要素集聚,发展人工智能前景广阔。中国人工智能学会将充分发挥自身优势,进一步深化与苏 州在学术研究、产业培育、人才培养、生态构建等方面交流合作,促进人工智能前沿技术、高端人才与 苏州产业需求精准对接,助力苏州打 ...
优必选:工业人形机器人 Walker S2 落地,重塑智能制造新质生产力
Jing Ji Guan Cha Wang· 2026-01-23 22:56
产业价值层面,Walker S2以高度拟人化的作业能力,成功适配质检、搬运、分拣、精密装配等复杂工 业场景,有效替代人工完成高危、高强度、重复性工作,降低了工业生产对人力的依赖。其7×24小时 不间断作业能力与高效协同特性,大幅提升了生产流程的连续性与效率,推动制造业向柔性生产、无人 化生产升级,为产业降本增效提供了核心支撑。 分时图 日K线 周K线 月K线 144.00 2.60 1.84% 2.12% 1.41% 0.71% 0.00% 0.71% 1.41% 2.12% 138.40 139.40 140.40 141.40 142.40 143.40 144.40 09:30 10:30 12:00/13:00 14:00 16:10 0 6万 12万 18万 优必选科技成立于2012年3月,是人形机器人领域的领导者和智能服务机器人领航企业,2023年12月在 香港交易所主板挂牌上市(股票代码:9880.HK)。公司聚焦工业制造、商用服务、家庭陪伴三大核心场 景,率先实现人形机器人落地应用,是全球唯一一家与多家车企宣布合作的人形机器人公司,旗下 Walker S系列成为全球进入最多车厂实训的工业人形机 ...
产销双超“三千四百万”彰显产业向新力、绿色引领力——解码数字里的“机遇清单”⑤(和音)
Ren Min Ri Bao· 2026-01-23 22:25
中国汽车产业的跨越式发展,是中国制造业提质向新的生动写照。迈入"十五五",随着中国产业体系进 一步迈向智能化、绿色化、融合化,中国同各国开放合作的蛋糕必将越做越大,为全球经济发展持续注 入新动能、创造新机遇 近期,中国汽车产业再次在国际上掀起关注热潮。从中国车企在美国拉斯维加斯消费电子展上吸睛,到 加拿大宣布调整中国电动汽车进口政策,国际市场对中国汽车的热情进一步上涨。看2025年中国汽车产 业成绩单,产销量双双突破3400万辆,其中新能源汽车产销量均超1600万辆,连续11年稳居全球第一。 亮眼的成绩,彰显了中国汽车产业的向新力、绿色引领力。 高效的智能制造体系、强大的本土供应链能力、快速的技术迭代、密集投放的高竞争力新产品,凸显中 国创新能力和超大规模市场相结合所产生的强大动能。从数十年前通过"技术引进"蹒跚起步,到如今跨 国巨头纷纷在华实施"共创共研",中外车企合作迈向"合资2.0时代",折射中国机遇的新变迁。"新技术 的创新和落地正在中国率先发生。"一位跨国企业高管感叹,必须跟上"中国速度",才能在电动化与智 能化浪潮中赢得未来。法国雷诺"中国先进技术研发中心"研发首款电动车仅用时21个月;德国大众在 ...
打通传统制造业数智转型堵点
Jing Ji Ri Bao· 2026-01-23 22:03
Core Viewpoint - The Chinese government is accelerating the integration of artificial intelligence in the manufacturing sector to enhance productivity and support the transition from a manufacturing powerhouse to an intelligent manufacturing leader [1] Group 1: Progress in Digital Transformation - Since the 14th Five-Year Plan, traditional manufacturing has made significant strides in digital transformation, achieving breakthroughs in industrial clusters, management reform, technological innovation, and brand building [1] - China has established over 30,000 basic intelligent factories, more than 1,200 advanced intelligent factories, and over 230 excellent intelligent factories, showcasing the emergence of benchmark enterprises in traditional manufacturing sectors [1] - By September 2025, China is expected to have 85 "lighthouse factories," leading globally in smart manufacturing standards [1] Group 2: Challenges in Digital Transformation - The digital transformation of traditional manufacturing is a long-term systemic project facing challenges such as reliance on imported core technologies like high-end chips and industrial software [2] - Many traditional enterprises lack a holistic view of smart manufacturing, leading to difficulties in integrating technology with operations and addressing the "data silo" issue [2] - There are significant disparities in smart manufacturing capabilities among enterprises, with small and medium-sized enterprises (SMEs) needing to enhance their transformation capabilities [2] Group 3: Strategies for Accelerating Transformation - The strategy involves constructing an industrial ecosystem that promotes collaboration between advanced enterprises and SMEs, focusing on innovation and shared resources [3] - Emphasis on deep integration of technology, management, and strategy to create a comprehensive smart manufacturing system that addresses the "data silo" problem [3] - The approach includes enhancing green manufacturing and service-oriented manufacturing through digital empowerment [3] Group 4: Innovation and Talent Development - Strengthening original innovation by focusing on critical areas such as high-end chips and industrial software to build a self-owned intellectual property system [4] - Cultivating full-stack intelligent manufacturing service providers to enhance systematic service capabilities and create value in collaboration with manufacturing enterprises [4] - Promoting integrated education and talent development to address the pain points of digital transformation in manufacturing, optimizing academic structures, and fostering interdisciplinary high-end talent [4]
经济大省挑大梁!四个维度解读2025山东经济数据
Qi Lu Wan Bao· 2026-01-23 15:27
Economic Overview - In 2025, Shandong Province achieved a GDP of 10,319.7 billion yuan, becoming the third province in China to surpass 10 trillion yuan, following Guangdong and Jiangsu, and the first in Northern China [1] - The economic structure improved, with the three industries' composition adjusted to 6.6:39.3:54.1, reflecting a 0.8 percentage point increase in the tertiary sector's share, contributing 59.1% to economic growth [1] Supply and Demand Dynamics - The province focused on strengthening both supply and demand, ensuring robust production across agriculture, industry, and services, with high-tech service industry revenue growing by 6.7% from January to November [2] - Consumer potential was effectively released, with significant sales growth in communication equipment and cultural office supplies, increasing by 29.8% and 22.8% respectively [2] Development Momentum - Innovation and new industries continued to thrive, with industrial technological transformation investment rising by 5.3% and equipment manufacturing value-added increasing by 11.4% [2] - Production in smart manufacturing, including industrial robots and electronic components, saw substantial growth, with outputs increasing by 26.6%, 14.6%, and 8.3% respectively [2] Social Welfare and Employment - Employment remained stable, with 1.249 million new urban jobs created, and per capita disposable income increased by 5.0%, narrowing the income gap between urban and rural residents [3] - The market prices were stable and controllable, with ample supply of various goods, reinforcing the foundation for social welfare [3]
浙江东方:私募股权业务主要由全资子公司东方产融执行
Core Viewpoint - Zhejiang Dongfang's private equity business is primarily executed by its wholly-owned subsidiary, Dongfang Chanyun, which manages a comprehensive ecosystem of "direct investment + mother fund + industrial fund" [1] Group 1: Business Overview - The company manages approximately 26.7 billion yuan in assets, with a cumulative management scale exceeding 33.7 billion yuan [1] - Investment focus is on high-end equipment, new energy, new materials, and intelligent manufacturing, with these sectors accounting for over 75% of the number of projects and 80% of the investment amount in financial-type funds [1] Group 2: Growth and Collaboration - In recent years, the fund management scale has significantly increased, supported by the establishment of mother funds in regions like Jiaxing and Ningbo, and enhanced cooperation with AIC institutions [1] - The current investment scale of mother funds is approximately 5 billion yuan, while the scale of funds in collaboration with AIC is about 2.5 billion yuan [1] - The company has intensified collaboration with the provincial foreign trade group in the pharmaceutical health industry to establish more funds [1]
机器人:目前公司在自有工厂开展试验性应用
Zheng Quan Ri Bao Wang· 2026-01-23 14:16
证券日报网讯1月23日,机器人在互动平台回答投资者提问时表示,目前,公司在自有工厂开展试验性 应用,尚未量产。未来公司将结合技术成熟度与市场需求,持续推进机器人技术在智能制造等场景的应 用拓展。 ...
浙江东方:公司联合设立AIC科创基金,东方产融认缴2亿元
Zheng Quan Ri Bao Wang· 2026-01-23 14:11
证券日报网1月23日讯,浙江东方(600120)在接受调研者提问时表示,2024年AIC试点扩容,公司联 合杭州市金融投资集团、西湖科创投,由中银资产牵头,在杭州设立了AIC科创基金,东方产融认缴2 亿元,该基金按照项目进度缴款,因为管理设计为双GP模式,各个合作方存在业务磨合,目前立项项 目9个,过会项目3个,一个已完成交割。预计随着磨合期的结束,后续的投资进度会加快。投资阶段 上,鉴于基金由银行系AIC主导,风险偏好相对稳健,投资主要以成长期(B轮及以上)为主,占比或超 70%;少量配置Pre-IPO或扩张期项目。投资方向主要集中在数字经济、人工智能、智能制造等方向。 ...
山推股份(000680) - 000680山推股份投资者关系管理信息20260123
2026-01-23 11:16
Group 1: Sales Management - The company has established an innovative sales management model called "Two Horizontals and Nine Verticals," which consists of two major regions (domestic and international) and nine product lines (e.g., bulldozers, excavators) for efficient matrix management of the sales team, ensuring effective market feedback and resource matching [2][3]. Group 2: Manufacturing Capability Enhancement - The company is focusing on intelligent, green, and intensive development, aiming to build an intelligent manufacturing system. It was selected as one of the first excellent-level smart factories by the Ministry of Industry and Information Technology in 2025 [2]. - By 2025, the company plans to establish a new product trial center that integrates AGV flexible assembly lines and digital twin technologies to support integrated manufacturing and testing of mining equipment [3]. Group 3: Global Sales Network Expansion - The company aims to enhance its global sales network layout to secure overseas sales resources, utilizing a combination of offline exhibitions and online multi-platform promotions to increase brand visibility and market influence [3].
宝马沈阳动力总成工厂“认证”员工超300名,撑起第六代电池量产
Zhong Guo Jing Ji Wang· 2026-01-23 11:07
Core Insights - The steady progress in the preparation for mass production of the sixth-generation power battery is facilitating the global rollout of BMW Group's new generation models [1] Group 1: Production and Market Response - BMW Group's new generation models have already achieved mass production at the Debrecen plant in Hungary, receiving positive feedback from the European market, which lays the foundation for simultaneous mass production across its global production bases [3] - The Shenyang powertrain plant, as BMW Group's largest powertrain production base outside Europe, is accelerating the preparation for the mass production of the sixth-generation power battery, with over 300 frontline employees having completed qualification certification [3] Group 2: Talent Development and Training - The Shenyang plant has established a clear talent development pathway for the sixth-generation power battery, maintaining technical synchronization with BMW's headquarters in Germany to ensure employee skill development aligns with project needs [5] - The training system at the Shenyang plant includes over 150 specialized courses covering the entire battery production process, with a 100% certification assessment mechanism to ensure seamless integration of talent reserves with electrification production [5] Group 3: Digitalization and Innovation in Training - The efficient advancement of talent development relies on deep digitalization applications, with the Shenyang plant being the first in BMW Group's global production network to adopt virtual model training, allowing employees to conduct standardized operational training 3-6 months in advance [5] - Some training courses developed in Shenyang have been incorporated into BMW's global training system, serving as reusable templates for other plants [5] Group 4: Global Collaboration and Quality Assurance - The Shenyang plant's technical team has been dispatched to BMW Group's R&D and battery production centers in Germany to learn from experiences gained during the trial production phase of the sixth-generation power battery [5] - The Shenyang plant's technical team also actively participates in global collaboration, providing trial production support to the plant in San Luis Potosí, Mexico, demonstrating a capability leap from "technical input" to "experience output" [5] - The plant is building a "quality moat" for the mass production of the sixth-generation power battery by strictly adhering to "zero defects" quality standards and leveraging digital applications for precise control [5]