人工智能创新应用
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前沿科技走近大众,全球智造燃动金陵
Nan Jing Ri Bao· 2025-12-01 02:29
从人形机器人到先进制造装备,从数字化解决方案到人工智能创新应用,一批批智能制造前沿成果 持续突破工厂场景局限,走到大众身边。11月29日,为期3天的2025世界智能制造博览会在南京精彩落 幕。 作为推进全球智能制造领域交流合作的重要窗口,本届博览会不仅集中展示了全球智能制造领域的 最新成果,更成为推动供需对接、产业合作的重要力量。 11月27日,来自德国、新加坡、墨西哥、巴西、智利、俄罗斯、印度、巴基斯坦等35个国家和地 区的59家企业走进南京国际博览中心,带着采购需求与博览会展商面对面洽谈。多家企业现场达成初 步意向采购订单,金额6000万元,切实为企业拓展国际市场、深化跨国合作注入强劲动力。 本届博览会期间,共举办成果展示、路演、发布会、供需对接、专题会议及互动体验等共41场, 覆盖数字化转型路径、工业智能体生态构建等核心议题,精准契合行业发展痛点与未来趋势。 本届博览会还首次设置国际展区,菲尼克斯、霍尼韦尔、达索、费斯托等国际智能制造领域企业带 来全球领先的智能制造技术与解决方案,并开展供需对接,进一步促进国际先进技术在国内的交流与应 用。 11月27日至29日,来自南京大学、东南大学、南京航空航天大学 ...
破发股格灵深瞳跌7.21% 2022年上市募18.3亿元
Zhong Guo Jing Ji Wang· 2025-09-26 08:56
Group 1 - The stock of Geling Deep Vision (688207.SH) closed at 16.61 yuan, with a decline of 7.21%, currently in a state of breaking issue [1] - Geling Deep Vision was listed on the Shanghai Stock Exchange's Sci-Tech Innovation Board on March 17, 2022, with an issuance of 46.2452 million shares at a price of 39.49 yuan per share [1] - The total amount raised from the initial public offering (IPO) was 1.826 billion yuan, with a net amount of 1.670 billion yuan after deducting issuance costs, exceeding the original plan by 670 million yuan [1] Group 2 - The company planned to raise 1 billion yuan for projects including AI algorithm platform upgrades, AI innovation application R&D, marketing service system upgrades, and to supplement working capital [1] - The total issuance costs for the IPO amounted to 156 million yuan, with the lead underwriter, Haitong Securities Co., Ltd., receiving 128 million yuan in underwriting fees [1] - On June 9, 2023, Geling Deep Vision announced a capital increase plan, distributing 0.40 shares for every share held, resulting in an increase of 7,399,232 shares, bringing the total share capital to 258,973,147 shares [2]
直击WAIC 2025 | 当“如何落地”成AI高频问题 中国电子云:“懂业务”比单纯技术优势更重要
Mei Ri Jing Ji Xin Wen· 2025-07-27 13:03
Core Insights - The core issue for enterprises in AI adoption is the confusion around implementation and application, as highlighted by Huang Feng, Senior Vice President of China Electronics Cloud, during the WAIC 2025 [1][2] Company Strategy - In 2025, China Electronics Cloud officially integrated AI into its strategic core, focusing on high-security computing infrastructure and data innovation services [2][4] - The company aims to transition from "experimental investment" to "strategic layout" in AI, having established a dedicated product line after two years of exploration [4][5] Market Positioning - China Electronics Cloud's primary clientele includes central state-owned enterprises and key industries, which are seeking intelligent breakthroughs after initial digitalization [4][5] - The company emphasizes that understanding business needs is more critical than mere technical advantages in the competitive landscape [5][6] Data Governance and Challenges - High-quality datasets are essential for AI development, but the domestic data governance sector faces significant challenges, including a lack of standardized processes [6][7] - The company is actively participating in national data standard formulation to address the issue of inconsistent industry standards [6][7] Security Considerations - Data security is a major concern for central state-owned enterprises, prompting China Electronics Cloud to develop comprehensive security solutions in collaboration with partners [7][8] Competitive Advantages - The company's core competitive edge lies in its long-term data and business accumulation, with a focus on domestic GPU adaptation and industry-specific knowledge [8][9] - China Electronics Cloud has established partnerships with over five national laboratories and more than ten central enterprises to build high-quality datasets [9][10] Future Trends - The company recognizes the trend of "small models with large data" as a mainstream approach in AI, advocating for flexible model sizes tailored to specific scenarios [10][11] - The concept of Agent as the ultimate form of AI is acknowledged, though practical implementation remains a challenge due to the complexity of tasks involved [11]