Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Sun Yat-sen University · Arizona State University
Abstract
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant to recommendation systems to video/audio surveillance. More recently, with the proliferation of mobile computing and Internet of Things (IoT), billions of mobile and IoT devices are connected to the Internet, generating zillions bytes of data at the network edge. Driving by this trend, there is an urgent need to push the AI frontiers to the network edge so as to fully unleash the potential of the edge big data. To meet this demand, edge computing, an emerging paradigm that pushes computing tasks and services from the network core to the…
Citation impact
- FWCI
- 183.40
- Percentile
- 100%
- References
- 168
Authors
6Topics & keywords
- Edge computing
- Edge device
- Computer science
- Enhanced Data Rates for GSM Evolution
- Data science
- Deep learning
- Applications of artificial intelligence
- Big data
Funding
- NSNational Science Foundation
- NNNational Natural Science Foundation of ChinaAwards: 61802449, U1711265
- DTDefense Threat Reduction AgencyAwards: HDTRA1-13-1-0029, HDTRA1
- NKNational Key Research and Development Program of ChinaAward: 2017YFB1001703
- FRFundamental Research Funds for the Central UniversitiesAward: 17lgjc40
- ARArmy Research OfficeAwards: W911NF-16-1, W911NF-16-1-, W911NF-16-1-0448, W911NF