Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hyeong Jun Seo"'
Autor:
Minseung Kang, Ung Cho, Jaehyeon Kang, Narae Han, Hyeong Jun Seo, Jee‐Eun Yang, Seokyeon Shin, Taehyun Kim, Sangwook Kim, Changwook Jeong, Sangbum Kim
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 8, Pp n/a-n/a (2024)
Abstract Charge storage synaptic circuits employing InGaZnO thin‐film transistors (IGZO TFTs) and capacitors are a promising candidate for on‐chip trainable neural network hardware accelerators. However, IGZO TFTs often exhibit bias instability.
Externí odkaz:
https://doaj.org/article/aa30a18f4ea4494c860be9a42817b039
Autor:
Jongun Won, Jaehyeon Kang, Sangjun Hong, Narae Han, Minseung Kang, Yeaji Park, Youngchae Roh, Hyeong Jun Seo, Changhoon Joe, Ung Cho, Minil Kang, Minseong Um, Kwang‐Hee Lee, Jee‐Eun Yang, Moonil Jung, Hyung‐Min Lee, Saeroonter Oh, Sangwook Kim, Sangbum Kim
Publikováno v:
Advanced Science, Vol 10, Iss 29, Pp n/a-n/a (2023)
Abstract Analog in‐memory computing synaptic devices are widely studied for efficient implementation of deep learning. However, synaptic devices based on resistive memory have difficulties implementing on‐chip training due to the lack of means to
Externí odkaz:
https://doaj.org/article/d1e7683bbe904c06bc1ce70aa284f5a2