Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence

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https://ieeexplore.ieee.org/document/9647039/

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https://doi.org/10.1109/JETCAS.2021.3130743
 http://hdl.handle.net/11603/24056

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

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2021-12-13

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journal articles
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T. Mohsenin, I. Partin-Vaisband, H. Homayoun, J. -S. Seo and X. Zhang, "Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 11, no. 4, pp. 527-531, Dec. 2021, doi: 10.1109/JETCAS.2021.3130743.

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Abstract

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.