Group 1 - The core policy document titled "Several Measures to Promote the Development of Intelligent Vehicle Networking and New Energy Vehicle Industry in Suzhou" was officially released, aiming to accelerate new industrialization and enhance the autonomous innovation capability of the industry [1][3] - The policy will be effective from July 1, 2023, until December 31, 2027, and includes 20 measures across four main areas [1][3] - The measures focus on promoting industrial agglomeration, enhancing innovation capabilities, strengthening industrial element guarantees, and improving the industrial development ecosystem [1][2][3] Group 2 - In promoting industrial agglomeration, the measures include establishing pilot demonstration zones, encouraging enterprises to increase effective investment, and providing financial rewards for recognized industrial clusters and unicorn enterprises [1][2] - For recognized leading enterprises, subsidies of up to 50 million yuan will be provided based on R&D investment, with additional support for national-level innovation centers and technology centers [2] - The measures also emphasize the construction of high-level laboratories, core technology breakthroughs, and the encouragement of large model innovation applications [2] Group 3 - The policy aims to enhance the consumption of new energy vehicles and expand their application scenarios, including public sectors such as government vehicles, taxis, and urban logistics [3] - The intelligent vehicle networking and new energy vehicle industry is a crucial part of the city's "1030" industrial system, with Suzhou being selected as a national pilot city for intelligent vehicle networking applications [3] - The measures provide substantial policy support for the high-quality development of the intelligent vehicle networking and new energy vehicle industry in Suzhou [3]

近日，上海市经济和信息化委员会推出中国化学（601117）工程科技公司、上海蓝亚石化设备检测所等 一批典型成功实践案例，以全面推动AI赋能新型工业化落地。 作为国家新型工业化战略的先行者，上 海市各领军企业聚焦设备运维、能源安全、工业互联等重点领域，通过人工智能与制造行业等实体经济 深度融合，率先构建起覆盖研发、生产、服务全链条的智能化解决方案，为制造行业高质量发展注 入"上海动能"。 在我国能源及相关产业领域，能源装备的安全诊断与检验检测工作意义重大，不仅是保障生产安全、稳 定运行的关键环节，也有着广阔的市场发展空间。随着大语言模型等前沿技术强势崛起，能源装备安全 诊断和检验检测领域迎来了发展契机。 近期，中国浦发机械下属上海蓝亚石化设备检测所有限公司（以下简称"上海蓝亚"）将人工智能大语言 模型与数字化软件有机融合，搭建了一套面向超期服役、"带病"运行以及失效设备的智能诊断评价体 系。 这套智能诊断评价体系可借助数据驱动的智能分析手段，对能源装备"健康"状态进行准确预测与评估， 为能源装备安全诊断提供了新思路。特别是在设备故障预警、剩余寿命预测、故障模式识别等关键环 节，以及当设备结构复杂导致难以实施有效 ...

Group 1 - The Hong Kong government is intensifying support for smart manufacturing through various funding programs to promote innovation and industrialization [1][2] - In 2023, the value added by Hong Kong's manufacturing and new industrial sectors reached HKD 76.8 billion, a 7.6% increase from the previous year, accounting for 2.6% of Hong Kong's GDP [1] - A pilot program for manufacturing and production line upgrades will be launched with a budget of HKD 100 million, providing up to HKD 250,000 in funding for approximately 400 companies to develop smart production strategies [1] Group 2 - Hong Kong aims to attract both local and international tech companies to foster collaboration and synergy, having engaged with over 200 potential tech firms for business expansion in Hong Kong by April 2025 [2] - The establishment of the Hong Kong New Industrial Development Alliance in March 2025 aims to create a collaborative platform among government, industry, academia, research, and investment [2] - A HKD 10 billion innovation and technology industry guiding fund is being prepared to attract more social capital into strategic emerging and future industries [2]

扎根地方 融合发展 高质量建设新型工业大学 苏州工学院战略发展研讨会圆满举行 初夏的苏州，万物勃发。5月18日上午，苏州工学院以"扎根地方，融合发展，高质量建设新型工业大 学"为主题举办的战略发展研讨会隆重开幕。会议由苏州工学院党委书记王培君主持。 今年3月，江苏省人民政府发布通知，根据教育部复函，同意常熟理工学院更名为苏州工学院。据了 解，苏州工学院是江苏省第一所省市共建高校，从苏州师范专科学校，到常熟理工学院；从1958年学校 初创时的1370多名毕业生，到如今全日制20000多名在校生；从专注专科教育，到独立开展研究生培 养，学校以67年的砥砺奋进，走出了一条具有自身特色的发展道路。 苏州工学院校长姜建明在致辞中表示："学校的成功更名，不仅标志着一段辉煌过往已完美载入史册， 更意味着苏州工学院的崭新征程正式开启。"一幅美好的发展蓝图正缓缓铺陈。 苏州工学院自建校以来，始终与地方和合共生。双方携手成立校地合作领导小组，共同制定并推进多轮 校地互动发展规划：在纺织服装、智能网联汽车、声学、电商等领域开展密切合作，共建国家级大学科 技园、中国清史南方研究院等一批重大平台，近两年签订科技成果转化合同752项，合 ...

Core Viewpoint - The global manufacturing landscape is undergoing profound changes due to complex international dynamics and the rapid evolution of technologies like artificial intelligence, which are reshaping production methods and business models in the manufacturing sector [1][2]. Group 1: Manufacturing Development Trends - The Chinese government emphasizes the importance of manufacturing in its work report, focusing on developing new productive forces and advancing industrialization [1]. - The 2025 Intelligent Manufacturing Forum highlighted that intelligent manufacturing is a key variable in reshaping global industrial competition, with technologies like AI models and digital twins significantly impacting production methods and value chains [1][2]. - Current trends in intelligent manufacturing include multi-technology integration, industrial collaboration upgrades, and a focus on green and sustainable development [2][8]. Group 2: Core Elements of Intelligent Manufacturing - The three core elements of intelligent manufacturing are intelligent manufacturing equipment, intelligent industrial software, and cyber-physical systems (CPS) [3][4]. - Intelligent manufacturing equipment enhances traditional manufacturing capabilities through the integration of AI, IoT, and big data, enabling features like state perception and autonomous control [4][5]. - Intelligent industrial software, which is currently a weak point in China's manufacturing sector, needs to catch up with international standards, as foreign companies dominate the high-end industrial software market [5][6]. Group 3: Challenges and Opportunities - The manufacturing sector faces challenges in transitioning from scale dividends to innovation dividends, requiring a shift in focus towards high-quality development driven by AI and other technologies [2][8]. - There is a need to break through technical bottlenecks, solidify ecological collaboration, and innovate value creation to enhance the manufacturing ecosystem [7][8]. - The integration of AI into manufacturing processes is seen as a pathway to achieving significant improvements in quality, efficiency, and sustainability [8][9]. Group 4: Industry Applications and Innovations - Companies like China Railway and China Steel Research are exploring AI applications in manufacturing, with a focus on personalized and customized production to meet market demands [10][11]. - The development of AI tools tailored for specific industry needs is crucial for enhancing productivity and reducing costs in sectors like steel and telecommunications [11][12]. - The push for digital transformation in traditional manufacturing is being driven by the need to adapt to new market challenges and technological advancements [10][12].

Core Viewpoint - Accelerating the transformation of advanced scientific and technological achievements is crucial for promoting high-quality development and achieving strategic autonomy in technology, as well as enhancing the competitiveness of the manufacturing sector and national defense technology industry [2][5]. Group 1: Importance of Transformation - Strengthening the output and efficient transformation of high-quality scientific and technological achievements is essential for advancing new industrialization and achieving modernization in China [2]. - The transformation of advanced scientific and technological achievements into tangible industrial activities is vital for driving economic growth and industrial development [2][4]. - The defense technology industry is a key component of advanced manufacturing and plays a significant role in the modernization of national defense and military capabilities [3]. Group 2: Policy and Mechanisms - Recent efforts by the Ministry of Industry and Information Technology and the National Defense Technology Industry Bureau have focused on promoting the transformation of advanced scientific and technological achievements, contributing to the establishment of a modern industrial system [4]. - Policies have been implemented to encourage the conversion of defense industrial technology for civilian use, stimulating innovation and investment in the defense sector [4]. - The establishment of various platforms, such as national manufacturing innovation centers and key laboratories, aims to facilitate the transformation of scientific achievements into industrial applications [4][9]. Group 3: Challenges and Solutions - Addressing the issues of "unable to transform," "unwilling to transform," and "unskilled to transform" is critical for enhancing the transformation process [7][8][9]. - The government is encouraged to play a proactive role in creating a conducive environment for technology transfer and transformation through effective policies and support for the technology service industry [9]. - Collaboration between enterprises, research institutions, and universities is essential for fostering innovation and ensuring the successful application of scientific achievements [8][9].

Core Viewpoint - Suzhou Bank reported a steady growth in revenue and net profit for the year 2024, demonstrating strong operational efficiency and commitment to shareholder returns through consistent cash dividends [1][2] Financial Performance - In 2024, Suzhou Bank achieved an operating income of 12.224 billion yuan, a year-on-year increase of 3.01% - The net profit attributable to shareholders reached 5.068 billion yuan, reflecting a growth of 10.16% - Basic earnings per share stood at 1.31 yuan, indicating robust operational quality [1] Dividend Policy - The bank has maintained a cash dividend payout ratio exceeding 30% for five consecutive years, with an increase in the payout ratio for four consecutive years - The chairman emphasized that the increase in cash dividends is a way to reward long-term shareholders despite the overall profit growth pressure in the banking industry [1] Asset Quality and Risk Management - Suzhou Bank has seen a continuous decline in non-performing loan ratio for six years, maintaining a strong position compared to peers - The bank focuses on value creation while managing risks, enhancing its risk management capabilities across all dimensions [2] Strategic Initiatives - The bank is committed to deep integration with the regional economy, employing a dual-driven strategy of "Technology + Cross-border" and "Livelihood + Wealth" - This strategy aims to support the industrial development of Jiangsu Province and Suzhou City [2] Future Outlook - 2025 marks the 15th anniversary of Suzhou Bank and is a pivotal year for its three-year strategic plan - The bank plans to deepen integrated operations, focusing on core business development, risk control, and digital transformation to promote high-quality growth [2] Market Position - Suzhou Bank, as the only listed city commercial bank headquartered in Suzhou, has established a network of 185 branches across Jiangsu Province and a representative office in Singapore - It ranks 253rd in the global banking rankings by The Banker magazine, showcasing its strong comprehensive strength [2]

5月18日下午，高质量建设新型工业大学专题报告会在苏州工学院举行。南京大学教育研究院教授、博士生导师，高等教育研究所原所长、校务委员会原 委员龚放、华中科技大学教育科学研究院教授、博士生导师、《高等工程教育研究》常务副主编余东升和苏州市工业和信息化局新型工业化推进处处长吴 年康以及苏州工学院党委书记王培君、党委常委、副校长王任、王继元、副校长冯勇出席会议。 会上，王培君发布了《苏州工学院使命愿景红皮书》。红皮书系统阐述了苏州工学院未来的使命愿景与发展目标、发展策略与行动计划，锚定构建新型工 业大学发展新格局，志在将苏州工学院建设成为立足苏州、服务长三角、贡献全国的新型工业大学，全力打造"苏州有作为、长三角有地位、全国有影 响"的科技创新和人才培养高地，为区域发展与国家建设注入强劲动能。 吴年康作题为《苏州市产业发展情况介绍》的专题报告，报告紧扣"1030"产业体系，对苏州10大产业集群、30条关键产业链的发展全貌进行了系统阐释。 作为全国第二大工业城市，苏州凭借雄厚的工业规模优势，持续推动产业集群稳健发展。当前，苏州在数实融合领域已位居全国前列，创新驱动效能日益 凸显，企业培育体系成效显著，绿色低碳转型稳步推 ...

为深入探索新形势下应用型本科高校的高质量建设，加快建成绿色、智能、安全的新型工业大学，5月18日，苏州工学院举行"扎根地方，融合发展，高质 量建设新型工业大学"战略发展研讨会，并进行苏州工学院校名启用仪式。 苏州工学院是江苏省第一所省市共建高校，前身是创建于1958年的苏州师范专科学校；1989年与常熟职业大学合并，成立常熟高等专科学校；2004年，升 格本科，更名为常熟理工学院。2025年3月，江苏省政府根据教育部复函，同意常熟理工学院更名为苏州工学院。 学校设有52个本科招生专业，拥有3个专业硕士学位授权点；工程学、材料科学、化学等3个学科进入ESI全球排名前1%，实现了跨越式突破，普通全日制 在校生2万多人。学校六十七载砥砺奋进，走出了一条具有自身特色的发展道路，实现了从应用型本科高校的探索者到"苏州工学院"的新启航。 会上，中国人民大学校长林尚立、澳门城市大学校长刘骏、学校理事单位、芬欧汇川特种纸纸业执行副总裁MikaKekki、美国威斯康星大学欧克莱尔分校 校长施密特等国内外合作伙伴和各界代表为苏州工学院校名启用和本次研讨会顺利召开送上视频祝福。苏州工学院与波司登集团签订校企战略合作协议。 苏州工学 ...

Core Viewpoint - The integration of 5G-A technology is crucial for the digital transformation of various industries, particularly in Shandong province, which is actively promoting its application in sectors like low-altitude economy, rural revitalization, smart tourism, and smart factories [1][4]. Group 1: 5G-A Network Development - Shandong province has initiated policies to support the construction of 5G-A and lightweight 5G networks, with a total of 254,000 5G base stations established, achieving a 99% coverage rate in administrative villages [2][3]. - The number of 5G-A base stations has surpassed 13,000, with 275 new "5G + Industrial Internet" integration application projects launched this year, totaling over 2,000 projects across key industrial sectors [2][3]. Group 2: Application in Various Sectors - In the low-altitude economy, Shandong has deployed 5G-A low-altitude perception networks in drone industry clusters, facilitating emergency rescue and logistics applications, with over 16,000 operations executed and more than 3,400 flight hours recorded [4][5]. - In smart tourism, 5G-A networks are being deployed in cultural and tourism venues, enhancing user experiences and promoting the integration of culture, tourism, and technology [4][5]. Group 3: Industrial Innovations - The implementation of 5G-A technology in marine applications is transforming the marine industry, with pilot projects in coastal cities for water quality monitoring and smart channel management [5]. - In industrial parks, projects like the integrated intelligent factory using 5G + MEC technology are achieving deep integration of CT, OT, and IT, showcasing the potential of 5G-A in enhancing manufacturing efficiency [5].