根据ChemLex发布的声明，此次合作旨在提升默克各业务部门在早期发现与开发工作流程中的速度、效 率与结果可重复性。合作探索领域将涵盖自动化合成、反应优化、高通量实验及化学平台集成等前沿方 向。 ChemLex是一家专注于开发AI驱动自动化化学合成平台的技术公司。其创始人兼首席执行官Sean Lin表 示，公司专有的化学合成平台能够借助AI闭环反馈机制实现全天候运行，正重新定义化学合成的效率 边界。他进一步指出，与默克中国的深入合作为验证和优化其技术在更广泛场景中的应用提供了宝贵机 会。 中化新网讯 1月20日，德国默克集团与新加坡科技初创企业ChemLex签署合作谅解备忘录，双方将共同 探索利用人工智能与自动化技术提升化学研发效率的新路径。这一合作标志着传统化工巨头与新兴AI 技术公司在赋能研发数字化转型方面的战略协同进入实质性探索阶段。 双方初步合作将聚焦于识别具有高影响力的化学研发项目，并规划未来潜在的合作路径。目前，两家公 司将继续在备忘录框架下展开讨论，以评估后续具体步骤。 ...

Group 1 - The core viewpoint of the articles is that the synthetic chemistry field is undergoing a significant paradigm shift from traditional "experience-driven" methods to "data-driven" and "intelligent-driven" approaches, primarily through the integration of robotics and artificial intelligence (AI) [1][2][4] - The introduction of high-throughput technology platforms allows researchers to systematically design thousands of different catalyst formulations and quickly identify patterns that would take traditional methods a significant amount of manpower to uncover, leading to the successful development of advanced materials [2][3] - The development of deep learning technologies has dramatically increased research efficiency, exemplified by Dow Chemical's use of Microsoft Azure AI, which reduced a 4-6 month workload to just 30 seconds, achieving a 200,000-fold increase in efficiency [3] Group 2 - Current advancements in AI models and automation technologies have significantly transformed the operational aspects of synthetic chemistry research, enabling high-precision, high-throughput, and safer chemical operations [4][5] - The first AI chemical robot, which autonomously completed 688 experiments in just 8 days, highlights the potential of AI in assisting rather than replacing chemists in experimental design [6][7] - Challenges such as data scarcity and the complexity of reactions remain in the application of AI in synthetic chemistry, necessitating a problem-driven approach that combines limited automation with human cognition for intelligent molecular creation [7][8]

Group 1 - The core viewpoint of the article emphasizes the transformation in the field of synthetic chemistry, shifting from traditional experience-driven methods to data-driven and intelligent-driven approaches, primarily through the integration of robotics and AI [2][5][6] - The "Synthesis Chemistry Research New Paradigm - Robotics and AI Symposium" held in Shanghai aims to promote the intersection of chemistry, artificial intelligence, and automation technology, fostering academic innovation and accelerating industrial application [2][4] Group 2 - The keynote speeches highlighted the necessity of evolving the research paradigm in synthetic chemistry, with a focus on enhancing research efficiency through advanced methods beyond traditional techniques [5][6] - Various experts presented their findings on how AI and automation are revolutionizing the development of catalytic materials, significantly reducing research timelines by over 50% [12] - The integration of AI with robotics is being explored to create intelligent autonomous experimental platforms, which aim to accelerate the discovery of new materials and enhance research capabilities across various industries [14][40] Group 3 - The symposium featured discussions on the challenges faced in applying AI in synthetic chemistry, such as data scarcity and the complexity of reactions, while emphasizing the need for a collaborative approach to build a comprehensive synthetic chemistry database [23] - A consensus was reached among participants on the importance of creating an open data ecosystem to overcome interdisciplinary barriers and enhance the synergy between academia and industry [49] - The closing remarks underscored the progress made in Chinese academic conferences and the collective commitment to embrace intelligent technologies for substantial contributions to global chemistry [56]