Name
Abstract | ||
|---|---|---|
Artificial intelligence (AI) technology makes mobile devices become intelligent objects that can learn and act automatically. Although AI will bring great opportunities for mobile applications, little work has focused on the architecture and the interaction with the cloud. In this article, we present three existing architectures of mobile intelligence in detail and introduce its broad application prospects. Furthermore, we conduct a series of experiments to evaluate the performance of the prevalent commercial applications and intelligent frameworks. Our results show that there is a big gap between Quality of Experience (QoE) requirements and the status quo. So far, we have seen only the tip of the iceberg. We pose issues and challenges to advance the area of mobile intelligence and hope to pave the way for future advancements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/mnet.2019.1700470 | IEEE Network |
Keywords | Field | DocType |
Computer architecture,Servers,Mobile handsets,Quality of experience,Discharges (electric),Computational modeling,Artificial intelligence | Data science,Architecture,Status quo,Computer science,Knowledge management,Mobile device,Quality of experience,Cloud computing | Journal |
Volume | Issue | ISSN |
abs/1807.08829 | 4 | 0890-8044 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||