The Community for Technology Leaders
Green Image
Issue No. 05 - May (2018 vol. 51)
ISSN: 0018-9162
pp: 32-41
Shuochao Yao , University of Illinois Urbana-Champaign (UIUC)
Yiran Zhao , University of Illinois Urbana-Champaign (UIUC)
Aston Zhang , Amazon AI
Shaohan Hu , IBM Thomas J. Watson Research Center
Chao Zhang , UIUC
Lu Su , State University of New York, Buffalo
ABSTRACT
How can the advantages of deep learning be brought to the emerging world of embedded IoT devices? The authors discuss several core challenges in embedded and mobile deep learning, as well as recent solutions demonstrating the feasibility of building IoT applications that are powered by effective, efficient, and reliable deep learning models.
INDEX TERMS
Internet of Things, learning (artificial intelligence), mobile computing
CITATION

S. Yao et al., "Deep Learning for the Internet of Things," in Computer, vol. 51, no. 5, pp. 32-41, 2018.
doi:10.1109/MC.2018.2381131
327 ms
(Ver 3.3 (11022016))