Abstract
Today, the Internet of Things (IoT) is increasingly flourishing with establishing ubiquitous connections between smart devices and objects, and by 2020, there will be a total of 30 billion connected things reported by IDC. The unprecedented data explosion provides immense opportunities for valuable information mining. At the same time, it also floods the infrastructure with tremendous values it necessarily handles and proposes high challenges to traditional data storing or processing techniques. On the other hand, artificial intelligence (AI) has become a key component for many applications that profoundly change our lives. Machine learning, especially deep learning (DL) technologies, vastly improves traditional computer science and networking technologies. The convergence of AI and IoT enables data to be quickly explored and turned into significant decisions. For companies and enterprises, AI enhances the speed and accuracy of data processing for instant market strategies.
| Original language | English |
|---|---|
| Article number | 9447309 |
| Pages (from-to) | 9460-9462 |
| Number of pages | 3 |
| Journal | IEEE Internet of Things Journal |
| Volume | 8 |
| Issue number | 12 |
| DOIs | |
| State | Published - 15 Jun 2021 |
Fingerprint
Dive into the research topics of 'Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver