期刊文献+

From Brain Science to Artificial Intelligence 被引量:8

下载PDF
导出
摘要 Reviewing the history of the development of artificial intelligence(AI)clearly reveals that brain science has resulted in breakthroughs in AI,such as deep learning.At present,although the developmental trend in AI and its applications has surpassed expectations,an insurmountable gap remains between AI and human intelligence.It is urgent to establish a bridge between brain science and AI research,including a link from brain science to AI,and a connection from knowing the brain to simulating the brain.The first steps toward this goal are to explore the secrets of brain science by studying new brain-imaging technology;to establish a dynamic connection diagram of the brain;and to integrate neuroscience experiments with theory,models,and statistics.Based on these steps,a new generation of AI theory and methods can be studied,and a subversive model and working mode from machine perception and learning to machine thinking and decision-making can be established.This article discusses the opportunities and challenges of adapting brain science to AI.
出处 《Engineering》 SCIE EI 2020年第3期248-252,共5页 工程(英文)
基金 the Consulting Research Project of the Chinese Academy of Engineering(2019-XZ-9) the National Natural Science Foundation of China(61327902) the Beijing Municipal Science&Technology Commission(Z181100003118014).
  • 相关文献

同被引文献51

引证文献8

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部