Toward Intelligent Display with Neuromorphic Technology
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · CCD and CMOS Imaging Sensors · Neural Networks and Reservoir Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Optoelectronic Display National and Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou 350002 China
Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou Fujian 350100 China
School of Electronics and Information Zhengzhou University of Light Industry Zhengzhou Henan 450002 China
Funding
National Natural Science Foundation of China
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