Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Chang‐Hyeon Han"'
Autor:
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, Ryun-Han Koo, Chang-Hyeon Han, He Young Kang, Tae Gyu Yang, Youngin Goh, Kilho Lee, Daewon Ha, Suraj S. Cheema, Jae Kyeong Jeong, Daewoong Kwon
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Analog reservoir computing (ARC) systems have attracted attention owing to their efficiency in processing temporal information. However, the distinct functionalities of the system components pose challenges for hardware implementation. Herei
Externí odkaz:
https://doaj.org/article/5764878e0d0b491a822370b58b27bf4e
Autor:
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, Ryun‐Han Koo, Jiseong Im, Chang‐Hyeon Han, Jong‐Ho Lee, Daewoong Kwon
Publikováno v:
Advanced Science, Vol 11, Iss 44, Pp n/a-n/a (2024)
Abstract Artificial neurons and synapses are crucial for efficiently implementing spiking neural networks (SNNs) in hardware. The distinct functional requirements of artificial neurons and synapses present significant challenges in the implementation
Externí odkaz:
https://doaj.org/article/87be31e5dfb444b1941ab9b098b3838c