摘要
近年来,随着硬件性能、软件算法的不断提升完善,互联网大数据的广泛应用以及基于云平台的大规模计算能力的不断突破,以深度学习为核心的人工智能发展迅猛。作为人工智能理论技术在相关应用背景下的具体体现,人工智能验证平台具有推动各产业智能化改造、转型升级和推动产业革命进一步深化的重要作用。基于第216期双清论坛"人工智能挑战性科学难题及颠覆性技术"主题下的报告和讨论,本文分析了人工智能验证平台的基础关键技术的发展现状和局限,探索人工智能验证平台的未来发展方向。
In recent years,benefitting from the improvement of hardware performance,software algorithms and the large-scale computing capabilities based on cloud platforms,artificial intelligence(AI)with deep learning as the core has developed rapidly.AI verification platform,the application of artificial intelligence in the related industries,plays a significant role in promoting the intelligent transformation and upgrading of various industries and driving the industrial revolution.Based on the 216 th Shuangqing Forum,this paper focus on the current situation and limitations of the core technology of the artificial intelligence verification platform,and explore the future development direction meanwhile.
作者
吴国政
王志衡
韩军伟
何斌
Wu Guozheng;Wang Zhiheng;Han Junwei;He Bin(Department of Information Sciences,National Natural Science Foundation of China,Beijing 10085;Key Laboratory of Information Fusion Technology,Northwestern Polytechnical University,XVan 710072;Department of Control Science and Engineering»Tongji University,Shanghai 200092)
出处
《中国科学基金》
CSCD
北大核心
2019年第6期641-645,共5页
Bulletin of National Natural Science Foundation of China
关键词
硬件性能
软件算法
云平台
人工智能
验证平台
hardware performance
software algorithms
cloud platforms
artificial intelligence
verification platform
