近年来，我国人工智能（AI）技术发展日新月异，大模型已经在重点工业领域完成规模化部署，与实 体经济融合不断加快，赋能效应日益明显。 "当前，人工智能不但是提升效率的辅助工具，而且是作为一种关键生产要素，深度融入研发设计、生 产制造、供应链管理、市场营销等全价值链环节。正从消费互联网的模式创新，全面转向工业、农业、 能源等实体经济领域。"赛迪研究院电子信息研究所数智技术研究室副主任王丽丽说。 产学研用协同创新 工信部发布数据显示，我国已累计培育400余家人工智能领域国家级专精特新 "小巨人"企业。 "我们联合财政部设立600亿元规模的国家人工智能基金，加快布局投资项目；印发《国家人工智能产业 综合标准化体系建设指南》，累计共制定了40余项行业关键标准和10余项国际标准，大力促进产融合 作。"工业和信息化部总工程师谢少锋说。 在激烈的市场竞争中，企业最先察觉到行业痛点，创新需求也最为强烈。因此，构建以企业为主导的产 学研用创新体系，将加快人工智能与实体经济的深度融合。 在纺织行业，布品质量检测曾经一度靠人工完成，不仅效率低，还存在漏检误检等问题。为此，中电信 人工智能科技有限公司与中国电信人工智能研究院联合攻关， ...

Core Insights - The introduction of AI fabric inspection machines at DiKai Industrial Fabric Co. is transforming traditional manual inspection methods, significantly enhancing efficiency and quality in the production process [5][7] - The Xiaoshan district aims to become a leading area in AI-enabled new industrialization applications, focusing on creating a collaborative innovation ecosystem involving technology, policy, and talent [6][10] Company Insights - DiKai Industrial Fabric's motivation for adopting AI inspection machines was to reduce costs and improve quality, achieving a labor cost reduction of 30-40% [7] - The accuracy of defect identification has improved from 13 types to over 20 types, with current accuracy exceeding 90% [8] - Other companies in Xiaoshan, such as ZhaoFeng Machinery and Waterwood IoT, are also exploring AI applications in various fields, indicating a broader trend of AI integration in manufacturing [8] Government Insights - Xiaoshan's government is actively working to convert hesitant manufacturers into proactive adopters of AI by showcasing successful case studies like DiKai Industrial Fabric [9] - The district has organized collaborations between manufacturing companies and AI service providers to develop replicable application templates across different industries [9] - The government has introduced a financial support scheme, allocating 50 million yuan annually for AI computing resources, with individual companies eligible for up to 1 million yuan [11] Expert Insights - There is a growing need for digital talent that understands both AI and industry-specific knowledge, which remains a scarce resource [12] - Recommendations for further promoting AI technology in Xiaoshan include establishing special funds for innovative pilot projects and creating a public data corpus to facilitate resource sharing [12]