Deep learning for consumer devices and services 2-AI gets embedded at the edge
Corcoran, Peter Lemley, Joseph Costache, Claudia Varkarakis, Viktor
Corcoran, Peter
Lemley, Joseph
Costache, Claudia
Varkarakis, Viktor
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Identifiers
http://hdl.handle.net/10379/15482
https://doi.org/10.13025/18779
https://doi.org/10.13025/18779
Repository DOI
Publication Date
2019-09-02
Type
Article
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Citation
Corcoran, P., Lemley, J., Costache, C., & Varkarakis, V. (2019). Deep Learning for Consumer Devices and Services 2—AI Gets Embedded at the Edge. IEEE Consumer Electronics Magazine, 8(5), 10-19. doi: 10.1109/MCE.2019.2923042
Abstract
The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud connection, while reducing latency and enhancing data privacy. This paper addresses current progress in Edge artificial intelligence (AI) technology in several consumer contexts including privacy, biometrics, eye gaze, driver monitoring systems, and more. New developments and challenges in edge hardware and emerging opportunities are identified. Our previous article, "Deep learning for consumer devices and services," introduced many of the basics of deep learning and AI. In this paper, we explore the current paradigm shift of AI from the data center into CE devices-"Edge-AI."
Publisher
IEEE
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland