Group 1 - The core viewpoint emphasizes the integration of AI in various research fields, showcasing significant advancements in industrial software development and ancient biology research [1][2] - The Nanjing Guorui Xinwei Software Company has developed over 20 proprietary industrial software products, raising nearly 600 million yuan for technological innovation and product upgrades [1] - AI algorithms have drastically reduced the time and cost of reconstructing ancient biological fossils, improving efficiency and experimental throughput [1][2] Group 2 - Collaboration between AI teams and traditional research teams is driven by project-based mechanisms, including cross-disciplinary project groups and internal AI training [2] - AI applications in oil and gas research have automated traditional processes, significantly reducing the time required for geological profiling from one year to one month [2] Group 3 - The government is expected to establish platforms for data security, shared pilot testing bases, and provide continuous funding support to facilitate the industrial transformation of AI research [3] - In ancient biology, there is a need for shared AI infrastructure and interdisciplinary talent cultivation to better integrate AI with research demands [3] Group 4 - AI technologies have enhanced the autonomous decision-making and anti-jamming capabilities of radar systems, with applications in complex signal environments [4] - The establishment of a geological biodiversity database has addressed the data supply-demand contradiction in ancient biology, supporting AI applications [4] Group 5 - The focus is on deeply integrating AI into the entire equipment development process, exploring the application of intelligent agents for optimized design and production scheduling [5][6] - AI is expected to transform ancient biology research from qualitative descriptions to quantitative analyses, with ongoing projects aimed at high-precision geological mapping [6]

12月26日，智驱科研.赋能未来——AI4S创新论坛在北京隆重召开。活动从垂域大模型到多Agent科研提效的全栈AI for Science平台，聚焦化工材料、生物医 药核心科研需求，构建"领域模型+科研支撑"的智能化服务体系。北京市科学技术委员会、中关村科技园区管理委员会、石景山区政府及抖音集团、枫清科 技等多家企业代表出席此次大会。 石景山区AI for Science平台上线发布仪式在会议期间圆满举行，该平台由枫清科技携手火山引擎联合打造，以AI驱动科研机构与企业的科研效率革新，降低 科研门槛。 同时，AI+新材料联合实验室在大会上正式揭牌，该实验室由中化数智、吉林大学、火山引擎及枫清科技联合成立，旨在用智能化方式实现新材料的研发以 及产业落地闭环，培养更多具备交叉学科背景的创新型人才。 AI+新材料联合实验室揭牌仪式 会上，枫清科技创始人兼CEO高雪峰发表"AI4S：从技术赋能到生态共生，驱动科研新范式"主题演讲，分享了枫清科技如何通过科研垂域模型训练与蒸馏， 通用科研智能体以及科研场景智能体的开发，实现AI+科研实践落地。高雪峰表示："我们通过将AI+新材料联合实验室的成果汇入石景山区AI for ...