Sep 2026· IEEE Electron Device Letters· Vol 47, pp. 1942-1945· 0 citations· 23 references
Abstract
Wearable edge computing devices require novel hardware for high-efficiency data processing. In this work, we proposed novel textile in-memory computing memristor, exhibiting great potential in image compression applications for the first time. The device shows low operation voltage and reliable switching characteristics, paving the way for continuous analog modulation of input signals. Based on the experimental I-V curve model, 16-cell memristor array was constructed to validate analog multiplication and integration functions of memristor circuits. The measured current and voltage responses were further obtained from the practical circuit and showed good agreement with the theoretical results. To further evaluate the feasibility of realizing compressed sensing tasks, block-wise compressed sensing reconstruction based on memristor arrays was carried out in practical circuits. These results demonstrate the great potential of textile memristors in constructing next-generation wearable in-memory compressed sensing system.
Computing in memory represented by resistive switching (memristive) devices is a promising way to implement hardware for artificial neural networks. We see it as the way to create energy-efficient and high-performance systems for solving a wide range of tasks in artificial intelligence. Here, we present the structure a...
A. Mikhaylov, S. Shchanikov, M. Koryazhkina et al.· Electronics· 0 citations
With the rapid development of the Internet of Things (IoT) and wearable electronics, tactile sensors play an indispensable role in intelligent sensing systems. However, traditional tactile sensing systems follow the von Neumann architecture, where sensors and processing units are physically separated. This leads to fre...
ABSTRACT Dynamic image detection and recognition are critical in machine vision. In traditional visual systems, sensing, storage, and computing are usually separated, leading to significant data transfer overhead. In this work, we presented a homogeneous silicon-based reservoir computing (Si-RC) system, which is compos...
Shao-Peng Feng, Kai Li, Sen-Hao Yan et al.· Science and Technology of Ad...· 0 citations
As multiterminal electronic devices integrating the functionalities of MOSFETs and memristors, memtransistors are core hardware for constructing complex neuromorphic computing circuits in the post-Moore era. However, random and uncontrollable defects in 2D materials limit existing devices in terms of volatile memory ch...
Wen Deng, Xin Yan, Di Tang et al.· Nano letters (Print)· 0 citations
Although memristor-based in-memory computing (IMC) has been widely investigated for brain-inspired neuromorphic workloads, systematic evaluations of its energy, latency, and signal-to-noise ratio (SNR) trade-offs across diverse system parameters remain scarce for classical digital signal processing (DSP). To address th...
Sofia Tatidis, P. Nielsen, Liang Liu et al.· 0 citations
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