원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 10 Number 2
2022.06
pp.246-251
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
As the number of data and devices explodes, centralized data processing and AI analysis have limitations due to the load on the network and cloud. On-device AI technology can provide intelligent services without overloading the network and cloud because the device itself performs AI models. Accordingly, the need for ondevice AI technology is emerging. Many smartphones are equipped with On-Device AI technology to support the use of related functions. In this paper, we compare software tools that implement On-Device AI.
목차
Abstract
1. INTRODUCTION
2. ON-DEVICE AI
3. ON-DEVICE AI SOFTWARE TOOLS
3.1 ML Kit
3.2 CoreML
3.3 TensorRT
3.4 Arm Compute Library(ACL)
3.5 AI Model Efficiency Toolkit(AIMET)
4. COMPARISON OF ON-DEVICE AI SOFTWARE TOOLS
5. CONCLUSION
REFERENCES
1. INTRODUCTION
2. ON-DEVICE AI
3. ON-DEVICE AI SOFTWARE TOOLS
3.1 ML Kit
3.2 CoreML
3.3 TensorRT
3.4 Arm Compute Library(ACL)
3.5 AI Model Efficiency Toolkit(AIMET)
4. COMPARISON OF ON-DEVICE AI SOFTWARE TOOLS
5. CONCLUSION
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보