Toward Intelligent Display with Neuromorphic Technology

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. In this review, we offer a comprehensive summary of recent advancements in the application of neuromorphic technology in displays, with a focus on interoperability. We delve into its state‐of‐the‐art designs and potential future developments aimed at revolutionizing display technology.This article is protected by copyright. All rights reserved

Stretchable and stable neuromorphic tactile system

“…1–6 Inspired by the human brain, neuromorphic computing has received increasing attention to overcome the bottleneck of the traditional Von Neumann architecture and improve the energy efficiency of artificial intelligence computing. 7–18 As the foundation of neuromorphic computing, artificial neurons play an essential role in implementing the computation. 19–23 An artificial neuron consists of multiple inputs and one output.…”