http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
문승언,임종필,김정훈,이재우,이미영,이주현,강승열,황치선,윤성민,김대환,민경식,박배호,Moon, S.E.,Im, J.P.,Kim, J.H.,Lee, J.,Lee, M.Y.,Lee, J.H.,Kang, S.Y.,Hwan, C.S.,Yoo, S.M.,Kim, D.H.,Min, K.S.,Park, B.H. 한국전자통신연구원 2018 전자통신동향분석 Vol.33 No.6
A neuromorphic hardware that mimics biological perceptions and has a path toward human-level artificial intelligence (AI) was developed. In contrast with software-based AI using a conventional Von Neumann computer architecture, neuromorphic hardware-based AI has a power-efficient operation with simultaneous memorization and calculation, which is the operation method of the human brain. For an ideal neuromorphic device similar to the human brain, many technical huddles should be overcome; for example, new materials and structures for the synapses and neurons, an ultra-high density integration process, and neuromorphic modeling should be developed, and a better biological understanding of learning, memory, and cognition of the brain should be achieved. In this paper, studies attempting to overcome the limitations of next-generation neuromorphic hardware technologies are reviewed.