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Journal Article 초저전력 엣지 지능형 반도체 기술 동향
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Authors
오광일, 김성은, 배영환, 박성모, 이재진, 강성원
Issue Date
2018-12
Citation
전자통신동향분석, v.33, no.6, pp.24-33
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2018.J.330603
Abstract
In the age of IoT, in which everything is connected to a network, there have been increases in the amount of data traffic, latency, and the risk of personal privacy breaches that conventional cloud computing technology cannot cope with. The idea of edge computing has emerged as a solution to these issues, and furthermore, the concept of ultra-low pow-er edge intelligent semiconductors in which the IoT device itself performs intelligent decisions and processes data has been established. The key elements of this function are an intelligent semiconductor based on artificial intelligence, connectivity for the efficient connection of neurons and synapses, and a large-scale spiking neural network simulation framework for the performance prediction of a neural network. This paper covers the current trends in ultra-low power edge intelligent semiconductors including issues regarding their technology and application.
KSP Keywords
Current trends, Data traffic, IoT Devices, Personal privacy, Simulation framework, Ultralow power(ULP), artificial intelligence, cloud computing technology, edge computing, large-scale, neural network simulation
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: