凤凰网财经讯，12月6日至8日，2025大湾区科学论坛在粤港澳三地联动启幕，一场覆盖前沿科技与产业融合的"头脑风暴"正式拉开帷幕。 本届论坛以"智创湾区 产研共融"为核心理念，系统设置开幕式、主论坛、多场分论坛及系列特色活动，聚焦新一代人工智能、新材料、脑机接口与类脑智 能等前沿科技方向，直面"卡脖子"关键领域，展开多层次、前瞻性、战略性的深度对话与路径探索。 论坛嘉宾阵容强大，学术号召力显著。论坛汇聚了包括图灵奖得主约翰·霍普克罗夫特、中国科学院院士陈和生、唐本忠等50余位顶尖科学家，其中两院院 士39人、海外学术机构院士16人。科学家们将围绕新一代人工智能、新材料、脑机接口等前沿领域展开前瞻性探讨。群贤毕至，思想汇聚，共同为粤港澳大 湾区的科技创新与产业融合注入高端智力动能。 此外，高端智力的汇聚，亟需世界级的创新平台与科研利器。当前，加速器驱动嬗变研究装置、散裂中子源二期、先进阿秒激光设施等5个国家重大科技基 础设施正在广东加速建设，共同构成了探索未知、突破极限的国家级实验场，为核心科学问题的突破与"0→1"的原始创新提供着不可或缺的硬核支撑。 二、推动成果转化"1→100"，精准匹配产业需求 原始创新 ...

"十四五"期间，北京信息科技大学以习近平新时代中国特色社会主义思想为指导，坚定"外树形象、内 聚力量、服务师生、加快发展"的总体思路，守正创新、笃行实干、攻坚克难，加快建设信息特色鲜明 的高水平应用型大学，交出了一份高质量发展的精彩答卷。 人才培养呈现新亮点，学科建设实现新突破 打造"三融三通"人才培养模式，成立勤信荣誉学院、天枢书院、未来数智产业学院。专业与课程建设扎 实推进，新增4个新兴本科专业，14个专业入选国家级一流专业建设点，17个入选北京市一流专业建设 点，9个专业通过工程教育认证，获评国家级一流课程15门、北京市课程思政先行校。创新实践教育质 量跃升，新增国家级虚拟仿真项目1项，获批教育部首批国家级创新创业教育实践基地，自"全国高校机 器人竞赛指数"设立以来持续位列全国TOP1%，斩获"挑战杯"国赛金奖。生源质量稳步提升，京内外录 取分数线和位次明显提升。毕业生就业竞争力持续增强，薪酬连续多年稳居全国高校前40位。 学科建设实现新突破。学科内涵建设成效显著，学校获批成为博士学位授予单位，仪器科学与技术学科 成为首个博士学位授权点，新增电子信息专业博士学位授权点，工程学科、计算机学科进入ESI全球 ...

Core Insights - The article highlights the significant investment opportunities in the cultural industry of the Guangdong-Hong Kong-Macao Greater Bay Area, driven by a robust ecosystem and active financial investment atmosphere [2][6][8]. Investment Landscape - In the past five years, the Greater Bay Area has seen 720 financing events in the cultural industry, totaling approximately 56.41 billion yuan [2][11]. - The investment focus is primarily on the integration of culture and technology, digital creative production, cultural "intelligent" manufacturing, and new forms of cultural consumption [11][12]. Industry Advantages - The cultural industry in Guangdong is characterized by a large scale, leading cultural manufacturing, concentrated cultural services, and a well-connected urban ecosystem [6][8]. - Guangdong's cultural products and services have successfully entered over 160 countries, accounting for about 40% of the national total in cultural exports [6][8]. Future Trends - The report identifies five major development trends in the cultural industry: consumption stratification, cultural industrialization, product digitization, emerging scenarios, and market globalization [2][10]. - The cultural manufacturing sector has established a comprehensive chain covering upstream and downstream industries, with notable clusters in cities like Guangzhou and Shenzhen [7][8]. Investment Recommendations - The report suggests three main investment directions: investing in content aligned with government policies, focusing on technology in hard tech fields, and targeting platforms in cultural big data and vertical cultural platforms [12][13]. - A "3415 model" is proposed, which includes three major sectors, four key investment tracks, and a cultural industry corridor to enhance collaboration and innovation [13].

Core Insights - The conference focused on the theme of "Intelligent Transformation of Manufacturing Driven by a New Generation of Artificial Intelligence," gathering over 400 experts and scholars from top universities and research institutions across China to discuss advancements in the field of advanced manufacturing [1][36]. Group 1: Conference Overview - The 7th Modern Manufacturing Integration Technology Academic Conference was held from November 7 to November 9, 2023, in Zhengzhou, Henan, organized by the National Key R&D Program and other institutions [1]. - The conference included a main forum and six sub-forums, addressing key topics such as new generation artificial intelligence and digital transformation [1]. Group 2: Keynote Speakers and Presentations - Notable speakers included Wang Jianmin, Dean of Tsinghua University Software Institute, and Jiang Hong, Party Secretary of China Weapon Industry Group [3]. - Presentations covered various topics, such as the development path of manufacturing informationization and the challenges of industrial big models [8][10][12]. Group 3: Thematic Forums and Discussions - The conference featured six thematic forums focusing on AI-driven product design, manufacturing process optimization, and industrial digital twins, fostering in-depth discussions among experts [34]. - The discussions highlighted the vibrant research activity and practical experience in the intersection of artificial intelligence and manufacturing [34]. Group 4: Future Directions and Consensus - The conference reached several key agreements, including the deep integration of industrial big models with domain knowledge, the engineering application of digital twins, and the independent innovation of domestic industrial software [36]. - The successful hosting of the conference is expected to positively impact the innovation and application of modern manufacturing integration technology in China [37].

Group 1 - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9 in Zhengzhou, focusing on the intelligent transformation of manufacturing driven by the new generation of artificial intelligence [1] - The conference is organized by the editorial department of "Computer Integrated Manufacturing Systems" and hosted by Zhengzhou University of Light Industry, attracting participation from numerous universities, research institutions, and enterprises in the advanced manufacturing field [1] - The event features a main forum and six specialized forums, covering core areas such as industrial intelligence and digital twin technologies, providing insights into cutting-edge trends [1] Group 2 - Real-time image live streaming has been launched, allowing those unable to attend in person to experience the conference atmosphere and access expert shares and highlights from the venue [1]

Core Points - The 7th Modern Manufacturing Integration Technology Academic Conference will be held from November 7 to November 9, 2025, in Zhengzhou, focusing on the intelligent transformation of manufacturing driven by the new generation of artificial intelligence [3][6]. - The registration deadline has been extended by 3 days to November 6, 2025, at 12:00 [3][12]. Conference Details - The conference will feature various forums on topics such as AI-driven product design and simulation, manufacturing process optimization, production operation control, equipment fault diagnosis, and industrial software [7]. - The event is organized by the Editorial Department of "Computer Integrated Manufacturing Systems" and hosted by Zhengzhou University of Light Industry, with participation from numerous universities, research institutions, and enterprises [8]. Registration Fees - Registration fees are set at 1500 RMB for students, 2800 RMB for general participants, and 3800 RMB for corporate representatives [9][19]. - Payment can be made via bank transfer or by scanning a QR code for registration [9][19]. Important Notes - Participants are responsible for their own accommodation and transportation costs [12][25]. - Students must provide a student ID during registration [12][25].

Core Viewpoint - The 7th Modern Manufacturing Integration Technology Academic Conference will focus on the intelligent transformation of the manufacturing industry driven by the new generation of artificial intelligence, scheduled for November 7-9, 2025, in Zhengzhou [1][2]. Group 1: Conference Details - The conference will be held at Hongrun Huaxia Hotel, Zhengzhou, with registration starting on November 7 [2]. - The organizing committee includes prominent figures from various universities and research institutions, with a focus on advanced manufacturing technology [3][5]. - The expected attendance is around 500-600 participants, including experts and scholars from the field [6]. Group 2: Conference Themes - The conference will cover topics such as AI-driven product design and simulation, manufacturing process optimization, production operation management, equipment fault diagnosis, and industrial software [1][2]. - Research on the current state of intelligent manufacturing in China, relevant national policies, and comparative analysis with major countries will be discussed [4]. - Key technologies and practical applications related to AI-driven transformation in manufacturing will be shared, including intelligent modeling, simulation, and decision-making methods [4]. Group 3: Registration and Fees - Registration fees vary: students pay 1,500 RMB (1,200 RMB before October 20), regular participants pay 2,800 RMB (2,500 RMB before October 20), and corporate representatives pay 3,800 RMB (3,500 RMB before October 20) [8]. - Payment must be made via bank transfer, and participants are required to send a registration receipt to the conference email after payment [8][7]. Group 4: Accommodation - Participants are advised to book accommodations early due to limited availability, with recommended hotels offering special rates for conference attendees [9]. - The main conference hotel is Hongrun Huaxia Hotel, located at 96 Fengle Road, Zhengzhou [9].

Core Viewpoint - The "Implementation Plan for Digital Transformation of the Machinery Industry (2025-2030)" aims to enhance the digitalization and intelligent manufacturing capabilities within the machinery industry through a two-step development goal and specific actions [1][2][3] Group 1: Development Goals - By 2027, the plan targets that 50% of enterprises will achieve a maturity level of at least Level 2 in intelligent manufacturing, with the establishment of no less than 200 excellent intelligent factories [1] - By 2030, the goal is for 60% of enterprises to reach Level 2 or above in intelligent manufacturing maturity, and to have at least 500 excellent intelligent factories [1] Group 2: Key Actions - The plan outlines four major actions, including the innovation development of intelligent equipment, expansion of intelligent manufacturing, enhancement of smart services, and strengthening of foundational support [2] - Specific tasks include promoting common technology breakthroughs, accelerating the application of intelligent equipment, and improving digital infrastructure [2] Group 3: Industry Context - The machinery industry is characterized by its broad coverage, diverse product types, complex structures, and the coexistence of mass production and small-batch customization [2][3] - The digital transformation of the machinery industry is essential for its high-quality development and supports the digital transformation across various sectors of the national economy [2][3]

Group 1 - The core viewpoint of the article is the implementation of the "Digital Transformation Implementation Plan for the Machinery Industry (2025-2030)" by eight government departments, aiming to enhance digitalization and intelligent manufacturing in the machinery sector [1][2][3] - The plan sets a two-step development goal, focusing on three major areas: intelligent equipment, intelligent manufacturing, and smart services, with four major actions and 12 key tasks outlined [1][2] - By 2027, the plan aims for 50% of enterprises to achieve a maturity level of at least 2 in intelligent manufacturing capabilities, with the establishment of no less than 200 excellent intelligent factories [1][2] - By 2030, the goal is for 60% of enterprises to reach the same maturity level, with at least 500 excellent intelligent factories established, significantly improving the digital and intelligent level of the industry [1][2] Group 2 - The plan emphasizes the need for innovation in intelligent equipment, including tackling common technologies and key components, promoting integrated innovation, and accelerating the application of intelligent equipment [2] - In the intelligent manufacturing sector, the plan calls for actions to accelerate the digital transformation of enterprises and promote collaborative digital transformation across supply chains [2] - For the smart services area, the plan aims to enhance service functions of equipment, cultivate smart service scenarios, and explore the value of equipment data [2] - The plan also includes actions to strengthen foundational support, such as improving digital transformation standards, advancing digital infrastructure, and enhancing network and data security governance [2][3]

Core Viewpoint - The implementation plan aims to promote the construction of smart factories in Heilongjiang Province, establishing a tiered cultivation system to enhance the digital transformation and intelligent upgrade of the manufacturing industry [1][3]. Group 1: Implementation Goals - The overall goal is to widely promote basic-level smart factories, scale up advanced-level smart factories, and cultivate leading smart factories with global influence [1]. - The plan encourages manufacturing enterprises to develop improvement plans based on smart manufacturing maturity assessment results and to upgrade production processes accordingly [1][2]. Group 2: Smart Factory Levels - The plan outlines a tiered approach: basic-level, advanced-level, excellent-level, and leading-level smart factories, with specific criteria for each level [3]. - Advanced-level smart factories are expected to integrate production and management processes, while excellent-level factories should promote smart manufacturing solutions and standards [2][3]. - Leading-level smart factories are encouraged to apply new technologies and lead innovations in manufacturing models and organizational structures [2]. Group 3: Management and Evaluation - The plan establishes a collaborative system among provincial, municipal, and county levels to manage the smart factory cultivation process [3]. - Dynamic management of the lists for basic and advanced-level factories will be implemented, with annual evaluations and a three-year term for qualification [4].