广东出台16条措施推动人工智能成制造业"新引擎" 中新网广州10月22日电 (记者 许青青 程景伟)记者从广东省人民政府新闻办公室22日举行的新闻发布会 获悉，广东近日制定出台《广东省人工智能赋能制造业高质量发展行动方案(2025—2027年)》(下称"方 案")，围绕强化关键供给、促进应用推广等方面提出16条政策措施，推动制造业数字化改造、智能化跃 升，加快打造具有全球影响力的"人工智能+制造业"融合发展示范区。 广东省工业和信息化厅副厅长曲晓杰在发布会介绍，广东作为全国制造大省和人工智能集聚区，产业体 系完备，应用场景广阔，市场空间巨大。其拥有全部31个制造业大类，制造业规模约占全国1/8，形成 了9个万亿元级产业集群，同时全省人工智能核心企业超过1600家，构建了全栈式产业链，为制造业转 型升级带来了"新引擎"。 在强化工业人工智能关键供给方面，方案以"千模赋能百行"为牵引，聚焦电子信息、智能家电等优势行 业，建设垂直领域大模型和场景专用小模型，推动建设工业领域数据集和知识语料库，并通过"算力 券"等政策工具降低企业算力使用成本，培育高价值工业智能体。 目前，广东在人工智能领域拥有9家国家级创新平台和近 ...

广东省人民政府日前制定出台《广东省人工智能赋能制造业高质量发展行动方案（2025—2027年）》， 围绕强化关键供给、促进应用推广等方面出台了16条政策措施，提出加快打造具有全球影响力的"人工 智能+制造业"融合发展示范区。广东省工信厅副厅长曲晓杰22日在省政府新闻发布会上介绍，广东作 为全国制造大省和人工智能集聚区，产业体系完备，市场空间巨大。截至目前，全省人工智能核心企业 超过1600家，构建了以华为昇腾生态、腾讯混元大模型等为代表的全栈式产业链，一大批工业大模型、 工业智能体迭代升级，为制造业转型升级带来了"新引擎"。广东将聚焦电子信息、智能家电、汽车、机 器人等优势行业，建设一批垂直领域大模型和场景专用小模型。推动建设工业领域数据集和工业知识语 料库，加强工业数据开发利用。培育一批具有数据处理和智能决策能力的高价值工业智能体，推动人工 智能赋能重点工业软件、智能装备、工业互联网平台迭代升级。（新华社） ...

据悉，广东将率先实施"人工智能+制造业"标杆建设行动。该行动将聚焦消费电子、高端装备、汽车、 石油化工、泛家居、生物医药等数十个细分行业，推动制造业企业围绕研发设计、生产制造、经营管 理、产品服务、供应链管理等高价值场景，创新应用人工智能技术，部署工业领域大模型和场景专用小 模型，提升大模型和小模型的协同效率，建设一批工业智能体高效运作、多场景高度集成的示范工厂， 并将分批遴选省级人工智能融合应用标杆项目，并对符合条件的项目择优给予资金支持。 同时，广东将创新推广数智化"链式改造"模式。此举旨在通过链主企业建设数智化供应链，基于工业大 模型开展协同制造等应用，带动上下游企业共同改造。推动链主企业建设数智化供应链，基于工业大模 型开展协同采购、协同制造、协同配送等应用，带动供应链相关企业智能化改造；推动工业互联网平台 企业，开展技术创新、产品开发和标准制定，为产业链上下游企业提供精准适用的人工智能解决方案。 同时，支持地市对于带动效果突出、赋能作用显著的数智化供应链协同平台、融合人工智能的工业互联 网平台，择优予以资助，推动新技术应用。 （原标题：广东将实施"人工智能+制造业"标杆建设行动，涉及汽车等领域） 南 ...

（原标题：广东鼓励地市设立"模型券"，支持企业购买服务） 南方财经记者吴佳霖 广州报道 10月22日，《广东省人工智能赋能制造业高质量发展行动方案（2025—2027年）》（下称《方案》）新闻发布会举行。 针对人工智能赋能制造业过程中可能出现的"需求说不清、供给不适配"困境，《方案》中提出系统性解决方案。广东省工业和信息化厅副厅长曲 晓杰表示，广东将通过建立全流程对接机制、强化产品供给等四项关键举措，打通供需壁垒，推动工业人工智能价值落地。 近五日涨跌:0.00% 市盈率： 20.46倍 据悉，广东将首先致力于建立"人工智能+制造业"产品和服务场景的培育与对接全流程工作机制。通过分行业分领域征集并发布场景"需求清单"与 产品"供给清单"，为供需双方提供精准指引，实现从"给政策"到"给机会"的转变。 在强化产品供给方面，广东将聚焦电子信息、智能家电、汽车、机器人等重点行业，支持工业企业、人工智能企业培育一批适应制造业复杂任务 环境、具备跨模态数据处理能力的垂直领域大模型，研制一批质量检测、工艺优化、设备运维等场景专用小模型，对于符合条件的工业模型项目 择优予以资金支持。同时，鼓励地市设立"模型券"，支持企业购买 ...

Core Insights - The VC/PE market in May 2025 experienced a slight month-on-month decline but a year-on-year increase, with Zhejiang, Jiangsu, and Guangdong leading in fundraising activities [3][4]. Fundraising Analysis - In May 2025, a total of 490 new funds were established, a decrease of 12% month-on-month but an increase of 10% year-on-year, with 418 institutions participating in fund establishment [7][5]. - The investment market saw a slight decline in activity, but the scale increased by 47% year-on-year, with Jiangsu, Guangdong, and Shanghai accounting for nearly 50% of the total financing scale and number [8][27]. - The semiconductor, artificial intelligence, and new materials sectors were the most sought after, with battery and energy storage technologies, as well as biomedicine, attracting significant investment [29][8]. Regional Fundraising Highlights - In May 2025, 24 provinces and regions established new funds, with Zhejiang leading at 94 funds, followed by Jiangsu with 75 and Guangdong with 54 [14][12]. - Qingdao and Jiaxing emerged as key fundraising hubs, with significant year-on-year growth in these regions [17][14]. Investment Cases Overview - In May 2025, there were 597 investment cases, a decrease of 17% month-on-month but an increase of 5% year-on-year, with the total investment scale reaching 73.9 billion yuan [24][29]. - The majority of financing activities were concentrated in Jiangsu, Guangdong, and Shanghai, with Jiangsu leading in both the number of financing cases (121) and financing amount (13.728 billion yuan) [27][29]. Investment Trends - The A-round financing dominated transaction numbers with 192 cases (32% share), while the scale of financing in later rounds was notable, with public listings and subsequent rounds accounting for 22% of the total scale [31][32]. - Small to medium-sized transactions were prevalent, with deals in the 10 million to 50 million yuan range making up 41.7% of the total, indicating a cautious but active market for quality projects [32][31]. Notable Financing Cases - Key financing cases included AirCloud with $300 million in E-round funding, and Xiangdao Mobility raising 1.3 billion yuan in C-round financing [36][37].

Group 1 - BYD has integrated DeepSeek technology, reducing defect rate from 0.3% to 0.05%, avoiding over 200 million yuan in quality losses annually [1] - DeepSeek predicts sulfur content in steel production 15 minutes in advance, saving 8 million yuan per production line each year [1] - The integration of AI and manufacturing is becoming a prominent model, with manufacturing being redefined and modernized [1] Group 2 - Focus on key regions and industries to prioritize the development of "AI + manufacturing" [2] - Support the establishment of intelligent manufacturing pilot zones in regions like Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macau [2] - Develop implementation roadmaps for intelligent manufacturing in sectors such as equipment manufacturing, integrated circuits, and automotive [2] Group 3 - Accelerate the full-process intelligence of manufacturing, creating new models like "intelligent + flexible manufacturing" [3] - Establish AI-driven collaborative cloud manufacturing platforms to enhance remote collaboration and precise control [3] - Promote the integration of advanced manufacturing and modern services, transitioning from production-oriented to service-oriented manufacturing [3] Group 4 - Promote pilot demonstrations of AI in manufacturing, accelerating the "intelligent transformation and digital upgrade" [4] - Implement new technologies like mixed reality, virtual reality, and digital twins in manufacturing processes [4] - Support the development of intelligent workshops and factories to optimize production processes and enhance data connectivity [4]