Brain-Inspired Artificial Intelligence: Advances and Applications

• 作者: JIA Tianyuan FAN Chaoqiong WANG Lina WANG Liya WU Xia
• 来源期刊: 中国航天（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: ARTIFICIAL INTELLIGENCE + AEROSPACE
• 页码范围: 12-19
• 页数: 8页
• 语种: 英文
• DOI: 10.3969/j.issn.1671-0940.2021.01.002

摘要

Recent advances in Artificial Intelligence (AI) have indicated that inspirations from the brain can effectively improve the level of intelligence for AI computational models, even if just local and partial inspirations. Nevertheless, realizing and exceeding intelligence at a human level still needs a deeper investigation and inspirations from the brain. The goal of brain-inspired intelligence is to achieve human intelligence inspired from brain neural mechanism and cog-nitive behavior mechanism. To this end, in this paper we introduce the relationship between AI and neuroscience, the current status of brain-inspired intelligence, the future work in intelligent control systems, and its profound influence in other fields.