A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors
Nan Wu, Zheyu Liu, Fei Qiao, Xiaojun Guo, Qi Wei, Yuan Xie, Huazhong, Yang

TL;DR
This paper presents a novel method enabling flexible electronic devices to perform real-time, energy-efficient Difference-of-Gaussian computations, demonstrating potential for complex processing in future flexible electronics.
Contribution
The paper introduces an innovative approach allowing flexible devices to implement Difference-of-Gaussian for complex real-time computation.
Findings
Feasibility of flexible devices performing Difference-of-Gaussian
Real-time and energy-efficient implementation demonstrated
Potential for complex computation in flexible electronics
Abstract
With many advantageous features, softness and better biocompatibility, flexible electronic devices have developed rapidly and increasingly attracted attention. Many currently applications with flexible devices are sensors and drivers, while there is nearly no utilization aiming at complex computation since flexible devices have lower electron mobility, simple structure and large process variation. In this paper, we proposed an innovative method that enabled flexible devices to implement real-time and energy-efficient Difference-of-Gaussian, which illustrated feasibility and potentials for them to achieve complicated real-time computation in future generation products.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Thin-Film Transistor Technologies · CCD and CMOS Imaging Sensors
