Core Insights - The article discusses the transformation of chemical research through the use of AI-driven "smart scientists" that can autonomously design and conduct experiments, significantly reducing the time and cost associated with material development [1][2]. Group 1: AI Integration in Research - The "smart scientists" in the Precision Intelligent Chemistry National Key Laboratory consist of 110 units that can perform various laboratory tasks autonomously, including reagent preparation and sample synthesis, while synchronizing data in real-time [1]. - These AI systems can analyze scientific papers, generate experimental designs, and learn from existing research, effectively functioning as a "scientist's brain" [2]. Group 2: Development and Capabilities - The development of the AI platform took three years, during which the research team compiled over one million chemical data points and integrated expert knowledge to enhance the AI's understanding of complex chemistry [3]. - The first iteration, named "Xiao Lai," was capable of performing 2,000 precise operations daily, equivalent to the work of five to six researchers, and successfully identified optimal formulations for Mars oxygen catalysts in just six weeks [3]. Group 3: Future Applications and Goals - The latest iteration of the AI, referred to as "Xiao Lin," aims to achieve complete autonomous research capabilities, potentially discovering new research directions and enabling non-chemistry professionals to create new materials [4]. - The "smart scientists" are expected to produce innovative materials, such as phase-change thermal insulation and flame-retardant materials, which have already undergone industrial testing and are being applied in various sectors [4].

Core Insights - AI robots are becoming the main force in laboratories, transforming traditional research methods and addressing challenges such as long production cycles and high costs in material creation [1][5] - The "smart scientist" can autonomously design experiments and operate continuously, representing a significant shift in research paradigms driven by artificial intelligence [1][5] Group 1: AI Integration in Research - The "smart scientist" can conduct experiments 24/7, analyze papers, generate solutions, and learn from experiences, functioning like a scientist's brain [2][3] - The development of this AI platform took three years, compiling over one million chemical data points from textbooks, papers, and patents, and integrating expert knowledge [3] Group 2: Achievements and Innovations - The "machine chemist" named "Xiao Lai" was created in 2021, capable of performing 2,000 precise operations daily, equivalent to the work of five to six researchers [3] - "Xiao Lai" identified the optimal formula for a Mars oxygen catalyst in six weeks, a task that would take human researchers 2,000 years to validate [3] Group 3: Future Developments - The "smart scientist" is undergoing continuous upgrades to master more scientific disciplines, with plans to create phase-change thermal insulation materials for applications in new energy batteries and fireproof clothing by 2024 [5] - The goal is to achieve "fully autonomous research," allowing the AI to discover new research directions and enabling non-chemistry professionals to create new materials [6]

Core Insights - The article discusses the transformation of chemical research through the use of AI-powered "smart scientists" that can autonomously design and conduct experiments, significantly reducing the time and cost associated with material development [1][3][4]. Group 1: AI Integration in Research - The "smart scientists" in the Precision Intelligent Chemistry National Key Laboratory consist of 110 units that can perform tasks such as reagent configuration, sample synthesis, and performance characterization autonomously [1][3]. - These AI systems can continuously conduct experiments and analyze scientific literature, generating experimental designs based on user queries through the AICHEM cloud platform [3][4]. Group 2: Development and Capabilities - The development of the AI platform took three years, compiling over one million chemical data points from textbooks, papers, and patents, along with expert knowledge [3][4]. - The initial version, "Xiao Lai," was capable of performing 2,000 precise operations daily, equivalent to the work of five to six researchers [3][4]. Group 3: Achievements and Future Goals - "Xiao Lai" successfully identified the optimal formulation for a Mars oxygen catalyst in just six weeks, a task that would take human researchers 2,000 years to validate [4]. - The laboratory aims for complete autonomous research capabilities, allowing the AI to discover new research directions and enabling non-chemistry professionals to create new materials [6].

"现在的农业农村现代化，不再是简单的机械化，而是数字化、智能化和绿色化的深度融合。未来 的猪肉产业，将是生物科技和数字科技深度赋能的智慧农业典范。"近日，重庆琪金食品集团有限公司 董事长林其鑫接受中国经济网记者专访时如是说。 锚定"十五五"关键词 找准产业发展航向 作为深耕生猪产业近三十年的企业家，林其鑫亲历了我国农业从传统种养向规模化、标准化、智能 化转型的全过程。面对"十五五"规划建议提出的新目标、新要求，他对多个核心关键词有着切身体会。 在林其鑫看来，"高水平科技自立自强"是破解生猪产业"猪周期"波动痛点的关键所在。他表 示，"生猪产业的'猪周期'波动一直是行业发展的难题，规划建议中提出的推动科技创新和产业创新深 度融合，为我们企业指明了突破口。"林其鑫介绍，琪金集团倾力打造的"荣昌猪"位列"国宝级"三大名 猪之列，历史悠久、肉质香糯。"下一步，我们将继续加大科研投入，扎实推进核心育种攻关，提升地 方猪生产性能。" 谈及"农业农村现代化"，林其鑫认为其内涵已实现迭代升级。"现在的农业农村现代化，不再是简 单的机械化，而是数字化、智能化和绿色化的深度融合。通过大数据预测市场需求指导生产，通过智能 化设备实 ...

截至目前，市场监管总局已在全国29个省份和新疆生产建设兵团布局建设88个重点实验室和42个技术创 新中心。从项目依托单位性质看，市场监管系统内技术机构64个，市场监管系统外科研院所12个、高校 12个、企业20个。从领域布局看，食品安全36个，工业产品质量安全35个，特种设备安全21个，计量26 个，标准化3个，检验检测7个，质量基础设施1个，市场综合监管1个，初步形成了覆盖重点领域和区域 的市场监管科技创新平台基地体系。 人民财讯12月10日电，市场监管总局全面落实党的二十届四中全会提出的"加快高水平科技自立自强"等 要求，积极推进重点实验室和技术创新中心建设和发展，服务市场监管体系和能力建设，助力市场监管 现代化。 ...

二是以强化资本供给提升科技创新动能。科创板以多元包容的上市标准支持"硬科技"企业上市。去年发 布的"轻资产、高研发投入"认定标准，放宽相关企业再融资比例限制，已有10家优质企业获批、再融资 总额预计达250亿元，进一步助力原始创新。 三是以打造产业矩阵发挥"新质"集群动能。科创板聚焦服务六大战略性新兴产业，并通过深化改革覆盖 更多新兴和未来产业，进一步推动科技创新和产业创新深度融合。 四是以推动并购重组催生资源整合动能。"科创板八条"发布以来，科创板新披露产业并购超150单。 五是以完善市场生态凝聚综合协同动能。上交所率先推出"提质增效重回报"专项行动，并加快完善指数 和产品体系，推动投融资协调发展。上交所还不断深化"三开门"服务，常态化走访调研，推动解决诉 求，持续强化上市前后全链条服务，深度赋能企业创新发展。 中经记者 孙汝祥 夏欣 北京报道 "持续放大科创板改革和示范效应，支持加快高水平科技自立自强。"上交所副总经理苑多然日前表示， 上交所将聚焦新质生产力发展方向，坚持不懈深化改革，更好服务高质量发展和中国式现代化全局。 据苑多然介绍，"十四五"期间，上交所坚守科创板"硬科技"定位，推动上市公司质量跨越 ...

Core Viewpoint - The article emphasizes the importance of accelerating high-level technological self-reliance and strengthening the protection and utilization of intellectual property rights in China, as outlined in the "14th Five-Year Plan" [1] Group 1 - China has become the first country in the world to have over 5 million valid domestic invention patents [1] - The number of PCT international patent applications from China has ranked first globally for six consecutive years [1]

（原标题：广东省科技厅杨军：?携手营造更具活力的大湾区科技金融生态） 南方财经记者 庞成 广州报道 "粤港澳大湾区建设是国家重大发展战略，全力打造具有全球影响力的国际科技创新中心，是我们肩负 的共同使命"，12月7日，在大湾区科学论坛科技金融分论坛上，广东省科学技术厅党组成员、副厅长杨 军致辞时指出，在此过程中，推动科技与金融深度融合是实现高水平科技自立自强、支撑现代化产业体 系建设的关键路径。 三是聚焦落地见效，共育创新生态。 期待此次论坛不仅是智慧的碰撞，更是一系列合作项目的起点， 共同推动达成的共识、发布的成果、签约的项目早日落地见效，携手营造更具活力、更可持续的大湾区 科技金融生态。 同时，实现"六个跃升前列"， "深圳—香港—广州"创新集群首次跃居全球第一；广东已建成和在建的 国家重大科技基础设施数量跃居全国前列；全省研发经费投入强度排名全国各省、自治区第一；深圳研 发强度跃居全国第一；广东省30所高校254个学科进入全球排名前1%，11所高校39个学科进入全球排名 前1‰，跻身全国前列；2024年我省机构获国家科学技术奖励、获批国家自然科学基金立项数和资助金 额均创历史新高。 回顾过去五年，广东在 ...

三是着力提升上市公司质量。修订完善新的上市规则和规范运作指引，强化独董履职保障的机制，提升 了上市公司治理透明度和市场公信力，发布了可持续发展报告的编制指南，编制操作的实务手册，并通 过常态化的专业培训等措施，全方位助力上市公司提升规范运作的水平和持续发展能力，引导上市公司 可持续发展理念深度融入经营管理的实践。 21世纪经济报道 赵云帆 广州报道 由南方财经全媒体集团主办，21世纪经济报道承办，渣打银行战略支持，东方证券等支持的"南方财经 论坛2025年会"12月5日-6日在广州南方财经大厦举办。 上海证券交易所副理事长霍瑞戎就上交所深耕科创板改革试验田，服务科技创新实践基本情况，以 及"十五五"期间上交所的重点工作方向发表了演讲。 霍瑞戎表示，上交所以科创板改革为引擎，助力加快提高高水平科技自立自强。七年来上交所坚守科创 板硬科技定位，围绕服务高水平科技自立自强，服务新质生产力发展，全方位提升了资本市场支持科技 强国建设和中国式现代化能级。 一是立足科创企业成长规律和发展特点，构建多元包容的发行上市制度体系，先后出台了科创板八条 和"1+6"系列政策措施，从IPO、再融资、并购等各个环节全面发力，系统提升 ...

Group 1 - The Shenzhen-Hong Kong Stock Connect has been operational for 9 years, facilitating cross-border trading and enhancing the accessibility of Chinese capital markets for global investors [1][2] - As of December 4, the cumulative transaction amount of the Shenzhen-Hong Kong Stock Connect reached 131 trillion yuan, with the Shenzhen Stock Connect accounting for 103 trillion yuan and the Hong Kong Stock Connect for 28 trillion yuan [1] - The number of stocks available for trading through the Shenzhen Stock Connect has increased from 881 to 1,636, while the Hong Kong Stock Connect has grown from 417 to 581 stocks [1] Group 2 - The Shenzhen market is characterized by a strong focus on technology innovation, with over 70% of companies being high-tech enterprises and nearly 50% in strategic emerging industries [2] - Investors have net bought 630.7 billion yuan in high-tech companies and 478.8 billion yuan in strategic emerging industry companies through the Shenzhen Stock Connect [2] - The proportion of trading volume from the ChiNext board has increased to 38% since the implementation of the registration system reform [2] Group 3 - The Shenzhen-Hong Kong Stock Connect has contributed positively to the improvement of investor structure, the dissemination of value concepts, and the enhancement of the quality of listed companies in the A-share market [2] - Future plans include enhancing the attractiveness and competitiveness of the Greater Bay Area capital markets to promote high-quality development [2]