Issue No. 05 - May (2018 vol. 51)
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
Huajie Shao , UIUC
Chao Zhang , UIUC
Lu Su , State University of New York, Buffalo
Tarek Abdelzaher , UIUC
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.
Internet of Things, learning (artificial intelligence), mobile computing
S. Yao et al., "Deep Learning for the Internet of Things," in Computer, vol. 51, no. 5, pp. 32-41, 2018.