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Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence
IEEE Journal on Emerging and Selected Topics in Circuits and Systems ( IF 4.6 ) Pub Date : 2021-12-13 , DOI: 10.1109/jetcas.2021.3130743
Tinoosh Mohsenin , Inna Partin-Vaisband , Houman Homayoun , Jae-Sun Seo , Xin Zhang

This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) aims to investigate the latest research in the domain of cross-layer design approaches including algorithms, architectures, hardware, and system integration for microintelligent systems processing. In order to avoid computeintensive algorithms running on the cloud and allow low latency and savings in communication link for bandwidth, on-device sensor analytics and micro-AI deployment of various applications with extremely low power is gaining more traction every day.

中文翻译:

客座编辑跨层设计、方法和系统,使微人工智能实现设备智能

IEEE 电路与系统新兴和精选主题期刊 (JETCAS) 的这一特刊旨在调查跨层设计方法领域的最新研究,包括用于微智能系统处理的算法、架构、硬件和系统集成。为了避免在云上运行计算密集型算法并允许低延迟和节省通信链路带宽,设备上传感器分析和各种具有极低功耗的应用程序的微 AI 部署每天都在获得更多关注。
更新日期:2021-12-14
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