Selective Dual‐Ion Modulation in Solid‐State Magnetoelectric Heterojunctions for In‐Memory Encryption

Ye, Xiaoyu; Zhu, Xiaojian; Yang, Huali; Duan, Jipeng; Gao, Shuang; Sun, Cui; Liu, Xuerong; Li, Run‐Wei

doi:10.1002/smll.202206824

Cited by 2 publications

(1 citation statement)

References 39 publications

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“…On the other hand, based on the device's inner high/low conductance state as logic “1”/“0”, the sequence of readout conductance states indicates some implications in the ASCII code. [ 13 , 14 , 15 ] After modulation of the conductance states, the data storage in devices will be modified with encryption to fulfill the in‐memory encryption application. Note that these cutting‐edge hardware encryption methods are typically implemented as separate structures from the neuromorphic computing module.…”

Section: Introductionmentioning

confidence: 99%

A Self‐Oscillated Organic Synapse for In‐Memory Two‐Factor Authentication

Liu,

Zhong,

et al. 2024

Advanced Science

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Entering the era of AI 2.0, bio‐inspired target recognition facilitates life. However, target recognition may suffer from some risks when the target is hijacked. Therefore, it is significantly important to provide an encryption process prior to neuromorphic computing. In this work, enlightened from time‐varied synaptic rule, an in‐memory asymmetric encryption as pre‐authentication is utilized with subsequent convolutional neural network (ConvNet) for target recognition, achieving in‐memory two‐factor authentication (IM‐2FA). The unipolar self‐oscillated synaptic behavior is adopted to function as in‐memory asymmetric encryption, which can greatly decrease the complexity of the peripheral circuit compared to bipolar stimulation. Results show that without passing the encryption process with suitable weights at the correct time, the ConvNet for target recognition will not work properly with an extremely low accuracy lower than 0.86%, thus effectively blocking out the potential risks of involuntary access. When a set of correct weights is evolved at a suitable time, a recognition rate as high as 99.82% can be implemented for target recognition, which verifies the effectiveness of the IM‐2FA strategy.

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Section: Introductionmentioning

confidence: 99%

A Self‐Oscillated Organic Synapse for In‐Memory Two‐Factor Authentication

Liu,

Zhong,

et al. 2024

Advanced Science

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Neuromorphic Nanoionics for Human–Machine Interaction: From Materials to Applications

Liu,

Sun,

et al. 2024

Advanced Materials

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Human‐machine interaction (HMI) technology has undergone significant advancements in recent years, enabling seamless communication between humans and machines. Its expansion has extended into various emerging domains, including human healthcare, machine perception, and biointerfaces, thereby magnifying the demand for advanced intelligent technologies. Neuromorphic computing, a paradigm rooted in nanoionic devices that emulate the operations and architecture of the human brain, has emerged as a powerful tool for highly efficient information processing. This paper delivers a comprehensive review of recent developments in nanoionic device‐based neuromorphic computing technologies and their pivotal role in shaping the next‐generation of HMI. Through a detailed examination of fundamental mechanisms and behaviors, the paper explores the ability of nanoionic memristors and ion‐gated transistors to emulate the intricate functions of neurons and synapses. Crucial performance metrics, such as reliability, energy efficiency, flexibility, and biocompatibility, are rigorously evaluated. Potential applications, challenges, and opportunities of using the neuromorphic computing technologies in emerging HMI technologies, are discussed and outlooked, shedding light on the fusion of humans with machines.This article is protected by copyright. All rights reserved

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Selective Dual‐Ion Modulation in Solid‐State Magnetoelectric Heterojunctions for In‐Memory Encryption

Abstract: toward multifunctional and compact solid-state information devices in the post-Moore era.

Cited by 2 publications

References 39 publications

A Self‐Oscillated Organic Synapse for In‐Memory Two‐Factor Authentication

A Self‐Oscillated Organic Synapse for In‐Memory Two‐Factor Authentication

Neuromorphic Nanoionics for Human–Machine Interaction: From Materials to Applications

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