Toward Intelligent Display with Neuromorphic Technology

Author:

Zhang Xianghong12,Liu Di12,Liu Shuai12,Cai Yongjie12,Shan Liuting12,Chen Cong12,Chen Huimei12,Liu Yaqian3,Guo Tailiang12,Chen Huipeng12ORCID

Affiliation:

1. Institute of Optoelectronic Display National and Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou 350002 China

2. Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou Fujian 350100 China

3. School of Electronics and Information Zhengzhou University of Light Industry Zhengzhou Henan 450002 China

Abstract

AbstractIn the era of the Internet and the Internet of Things, display technology has evolved significantly toward full‐scene display and realistic display. Incorporating “intelligence” into displays is a crucial technical approach to meet the demands of this development. Traditional display technology relies on distributed hardware systems to achieve intelligent displays but encounters challenges stemming from the physical separation of sensing, processing, and light‐emitting modules. The high energy consumption and data transformation delays limited the development of intelligence display, breaking the physical separation is crucial to overcoming the bottlenecks of intelligence display technology. Inspired by the biological neural system, neuromorphic technology with all‐in‐one features is widely employed across various fields. It proves effective in reducing system power consumption, facilitating frequent data transformation, and enabling cross‐scene integration. Neuromorphic technology shows great potential to overcome display technology bottlenecks, realizing the full‐scene display and realistic display with high efficiency and low power consumption. This review offers a comprehensive summary of recent advancements in the application of neuromorphic technology in displays, with a focus on interoperability. This work delves into its state‐of‐the‐art designs and potential future developments aimed at revolutionizing display technology.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neuromorphic Global Driving Strategy for Display;IEEE Electron Device Letters;2024-08

2. A Novel Neuromorphic Display Platform for Ambient Light Adaptive Display;IEEE Transactions on Electron Devices;2024-08

3. Stretchable and stable neuromorphic tactile system;Journal of Materials Chemistry C;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3