Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System
Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. To date, RC has evolved into several innovative variants. The next generation reservoir computing (NGRC) variant, founded on nonlinear vector autoreg...
Saved in:
| Main Authors: | Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-10-01
|
| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400098 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications
by: Shengpeng Xing, et al.
Published: (2025-01-01) -
SPIKA: an energy-efficient time-domain hybrid CMOS-RRAM compute-in-memory macro
by: Khaled Humood, et al.
Published: (2025-04-01) -
X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs
by: Giacomo Pedretti, et al.
Published: (2024-01-01) -
Multifunctional In‐Memory Analog‐to‐Digital Converter for Next‐Gen Compute‐in‐Memory Systems
by: Jiseong Im, et al.
Published: (2025-05-01) -
Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory
by: Musaib Rafiq, et al.
Published: (2025-01-01)