AI for Technology:技术智能在高技术领域的应用实践与未来展望  

AI for Technology:Applied practices and future perspectives of technological intelligence in high tech areas

作　　者：陈云霁[1,2] 郭崎 CHEN Yunji;GUO Qi(State Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院计算技术研究所处理器芯片全国重点实验室,北京100190 [2]中国科学院大学计算机科学与技术学院,北京100049

出　　处：《中国科学院院刊》2024年第1期34-40,共7页Bulletin of Chinese Academy of Sciences

基　　金：国家自然科学基金(61925208、U22A2028);中国科学院稳定支持基础研究领域青年团队计划(YSBR-029);科学探索奖。

摘　　要：以智能化科研(AI for Science)为核心的第五科研范式已经在多个自然科学和高技术领域得到了广泛应用。与人工智能(AI)在自然科学领域的应用强调发现新原理、新机理和新规律不同,高技术领域更强调用AI技术来发明创造新方案、新工具和新产品,以解决特定的领域问题。文章总结了AI在高技术领域的应用——“技术智能”(AI for Technology)的典型特征和科学问题,并以CPU芯片全自动设计为例介绍过往的成功案例。最后,文章指出技术智能的目标不仅是加速创新流程并减少人工投入,同时也希望其具备更强的创造能力,最终超过人类的水平。As the core of the fifth research paradigm,AI for Science has been widely used in multiple research fields of natural sciences and high technologies.In contrast to that the application of AI in natural sciences mainly focuses on discovering new theories,principles,and laws,the application of AI in high technologies mainly focuses on creating new plans,tools,and products,in order to resolve concrete problems in related fields.This study first summarizes the typical characteristics and scientific problems of the application of AI in high technologies,i.e.,AI for Technology,and then introduces a successful case study of AI for Technology,that is,fully automated CPU design.Finally,this study points out that the main targets of AI for Technology are not only to accelerate the innovation process and thus reduce human investments,but also to endow machines with higher creative abilities than human experts eventually.

关 键 词：技术智能 智能化科研 发明创造 CPU设计 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F49[自动化与计算机技术—控制科学与工程]