摘要
近年来,全球人工智能发展进入新一轮技术创新活跃期,新的理论、模型、算法快速迭代。本文从模型算法、软硬件实现以及技术形态等角度分析了当前全球人工智能技术的主要特征,总结了国内外人工智能前沿研究的一些创新热点和新动向,并从基础理论突破、底层计算模式创新、模型算法演进等方面,展望和探讨了未来人工智能技术进一步突破的几个可能趋势。
In recent years,the development of global artificial intelligence(AI)has entered a new round of active period,with the rapid iteration of new theories,models,and algorithms.This study analyzes the main features of the current AI technology innovation from the perspective of model algorithms,software and hardware implementations,and intelligent system forms.It summarizes some of the innovation hotspots in the domestic as well as international frontier research of AI.Furthermore,in terms of the breakthroughs in basic theory,innovation of underlying computing models,and evolution of model algorithms,several possible trends in the future development of AI technology are discussed.
作者
李修全
LI Xiuquan(Chinese Academy of Science and Technology for Development,Beijing 100038,China)
出处
《智能系统学报》
CSCD
北大核心
2020年第2期409-412,共4页
CAAI Transactions on Intelligent Systems
关键词
人工智能
技术形态
创新特征
发展趋势
软硬件协同
技术融合
模型轻量化
Artificial intelligence
technical form
innovation feature
development trend
software-hardware collaboration
technology fusion
lightweight model