New Insights into Memory/Storage Circuit, Architecture, and System

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 754

Special Issue Editors


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Guest Editor
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: artificial intelligent chip algorithm-hardware co-design; an emerging nonvolatile memory circuit; memory-centric computing architecture

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Guest Editor
Center for Energy-Efficient Computing and Applications, Peking University, Beijing 100871, China
Interests: computer architecture and design automation

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Guest Editor
Suzhou Laboratory, Suzhou 215000, China
Interests: advanced semiconductor marerials and devices

Special Issue Information

Dear Colleagues,

Memory and storage are the core components of various computing systems, including artificial intelligence processors, general-purpose computing systems, and quantum computing systems. In both Von Neumann and non-Von Neumann computer architecture, the data movements and data flow are crucial to the performance of the computing system. In this Special Issue, we are seeking new insights, emerging technologies, and solutions with memory/storage innovations to improve the performance of computing systems. Particularly, we are looking for research on memory/storage optimization for embedded artificial intelligence processors, artificial intelligence processors with computing-in-memory architecture, artificial intelligent processors with emerging non-volatile memory, emerging memory technologies for novel applications, artificial intelligence processors for quantum computing, memory/storage innovations for large-scale models, EDA technologies for memory/storage optimization, novel material/devices for high-performance memory/storage, the endurance improvement method for non-volatile memory, 3-D technology for storage devices, etc. We welcome memory/storage-related researchers to contribute to this Special Issue.

Dr. Liang Chang
Dr. Guangyu Sun
Prof. Dr. Yi Tong
Guest Editors

Manuscript Submission Information

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Keywords

  • memory circuit
  • memory-centric computing
  • computing-in-memory architecture
  • emerging memory technology
  • non-volatile memory
  • memory system
  • memory management for AI

Published Papers (1 paper)

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Research

11 pages, 2371 KiB  
Article
Realization of Empathy Capability for the Evolution of Artificial Intelligence Using an MXene(Ti3C2)-Based Memristor
by Yu Wang, Yanzhong Zhang, Yanji Wang, Hao Zhang, Xinpeng Wang, Rongqing Xu and Yi Tong
Electronics 2024, 13(9), 1632; https://doi.org/10.3390/electronics13091632 - 24 Apr 2024
Viewed by 470
Abstract
Empathy is the emotional capacity to feel and understand the emotions experienced by other human beings from within their frame of reference. As a unique psychological faculty, empathy is an important source of motivation to behave altruistically and cooperatively. Although human-like emotion should [...] Read more.
Empathy is the emotional capacity to feel and understand the emotions experienced by other human beings from within their frame of reference. As a unique psychological faculty, empathy is an important source of motivation to behave altruistically and cooperatively. Although human-like emotion should be a critical component in the construction of artificial intelligence (AI), the discovery of emotional elements such as empathy is subject to complexity and uncertainty. In this work, we demonstrated an interesting electrical device (i.e., an MXene (Ti3C2) memristor) and successfully exploited the device to emulate a psychological model of “empathic blame”. To emulate this affective reaction, MXene was introduced into memristive devices because of its interesting structure and ionic capacity. Additionally, depending on several rehearsal repetitions, self-adaptive characteristic of the memristive weights corresponded to different levels of empathy. Moreover, an artificial neural system was designed to analogously realize a moral judgment with empathy. This work may indicate a breakthrough in making cool machines manifest real voltage-motivated feelings at the level of the hardware rather than the algorithm. Full article
(This article belongs to the Special Issue New Insights into Memory/Storage Circuit, Architecture, and System)
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