Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm.
Won J, Kang J, Hong S, Han N, Kang M, Park Y, Roh Y, Seo HJ, Joe C, Cho U, Kang M, Um M, Lee KH, Yang JE, Jung M, Lee HM, Oh S, Kim S, Kim S.
Won J, et al. Among authors: seo hj.
Adv Sci (Weinh). 2023 Oct;10(29):e2303018. doi: 10.1002/advs.202303018. Epub 2023 Aug 9.
Adv Sci (Weinh). 2023.
PMID: 37559176
Free PMC article.
In addition, an efficient and realistic training algorithm to compensate for any remaining device non-idealities such as drifting references and long-term retention loss is proposed, demonstrating the importance of device-algorithm co-optimization....
In addition, an efficient and realistic training algorithm to compensate for any remaining device non-idealities such as drifting references …