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Toward Intelligent Display with Neuromorphic Technology

Xianghong Zhang, Di Liu, Shuai Liu, Yongjie Cai, Liuting Shan, Cong Chen, Huimei Chen, Huimei Chen, Yaqian Liu, Tailiang Guo, Huipeng Chen, Huipeng Chen

2024Advanced Materials34 citationsDOI

Abstract

In 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.

Topics & Concepts

Neuromorphic engineeringComputer scienceInteroperabilityDisplay deviceHuman–computer interactionArtificial intelligenceArtificial neural networkWorld Wide WebOperating systemAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsNeural Networks and Reservoir Computing
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