特别提示 微信机制调整，点击顶部"仪器信息网" → 右上方"…" → 设为 ★ 星标，否则很可能无法看到我 们的推送。 在实地调研与深入思考后，2 0 2 5年他提交了《关于依托大科学装置，建设粤港澳大湾区高端科 研仪器研发平台的提案》，提出三个层面的建议： 一是构建"产学研用"协同攻关机制，依托大科学装置组建"科研机构+高校+企业"联合团队，并 建立全链条验证体系，让企业利用大科学装置开展仪器验证，实现技术优化与成果转化无缝衔 接； 二是打造粤港澳大湾区高端科研仪器研发示范基地，利用大湾区已形成全球密度最高的大科学 装置集群的优势，推动核心技术就地产业化； 三是创新人才培养机制，对大科学装置关联单位给予博士名额倾斜，鼓励招收跨学科背景研究 生，构建"基础研究—技术开发—产业应用"复合型人才梯队。 让孙志嘉欣喜的是，越来越多的科研人员开始关注国产仪器的自主研发。 摘要： 全国政协委员孙志嘉调研大湾区大科学装置，建议构建"产学研用"协同机制，打造高端科研仪器 研发平台，推动国产仪器技术突破与产业化。 | 版 权 ： 本 文 部 分 素 材 源 自 网 络 ， 版 权 归 原 作 者 所 有 ， 观 点 代 表 ...

Group 1 - The core viewpoint emphasizes the mutual empowerment of artificial intelligence (AI) and finance, which is a necessary outcome of the development of both sectors, providing strong support for their high-quality growth [1] - The People's Bank of China aims to promote the application of AI in finance in a proactive, stable, safe, and orderly manner, highlighting the need for institutional support and overcoming technical bottlenecks [1][2] - The development of AI in finance should focus on real demands from the real economy, ensuring deep integration of technological innovation with business scenarios [1] Group 2 - The top-level design includes the issuance of the "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action" in August 2025, which sets the direction for AI applications in various sectors, including finance [2] - Challenges in the development of "AI + Finance" include the need for stronger governance of technological ethics, risks of model homogeneity, inherent flaws in algorithm architecture, and challenges in data governance and security [2] - To address these challenges, a collaborative approach involving financial security, risk prevention, and an innovative application environment is essential, requiring deep exploration of institutional frameworks and continuous improvement of collaborative mechanisms [2] Group 3 - Looking ahead to the 14th Five-Year Plan, the focus will be on safety, innovation, and ecological collaboration, with policies guiding the development direction and establishing a tiered risk prevention system [3] - Key areas for AI empowerment in finance include credit financing, risk management, and customer service, aiming for effective implementation of AI applications [3] - Strengthening collaboration among government, enterprises, and research institutions is crucial for technological breakthroughs in financial models, alongside investing in talent to support sustainable AI applications in finance [3]