A near-threshold memristive computing-in-memory engine for edge intelligence
Abstract Memristive computing-in-memory and near-threshold computing are two unconventional computing paradigms that can potentially enhance the energy efficiency and real-time performance of edge devices. However, their scalability faces challenges, primarily due to process variation. Here, we repo...
Saved in:
| Main Authors: | Linfang Wang, Weizeng Li, Zhidao Zhou, Junjie An, Wang Ye, Zhi Li, Hanghang Gao, Hongyang Hu, Jing Liu, Xiaoming Chen, Ling Li, Qi Liu, Mingoo Seok, Chunmeng Dou, Ming Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-61025-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Chaotic Neural Network Using Memristive Synapse with Applications in Associative Memory
by: Xiaofang Hu, et al.
Published: (2012-01-01) -
Memristive Bellman solver for decision-making
by: Zhe Feng, et al.
Published: (2025-05-01) -
From Classic to Cutting-Edge: A Near-Perfect Global Thresholding Approach with Machine Learning
by: Nicolae Tarbă, et al.
Published: (2025-07-01) -
Memristive linear algebra
by: J. Lin, et al.
Published: (2025-06-01) -
A simple memristive jerk system
by: Chunbiao Li, et al.
Published: (2021-07-01)