1 INTRODUCTION

2 CLOUD AI  
2.1 AI Computing Hardware in Cloud Computing  
2.2 Computer Vision  
2.3 Natural Language Processing  
2.4 Web Services  

3 EDGE AI  
3.1 AI Computing Hardware in Edge Computing  
3.2 Efficient Network Architecture  
3.3 Compression  

4 EDGE-CLOUD COLLABORATIVE AI  
4.1 Privacy-Primary Collaboration: Federated Learning  
4.2 Efficiency-Primary Collaboration  
4.3 Rethinking Collaboration in Classical Paradigms  

5 ADVANCED TOPICS  
5.1 Edge Pretraining Models  
5.2 Edge Graph Neural Networks  
5.3 Edge-Cloud Reinforcement Learning  

6 FUTURE DIRECTIONS AND CONCLUSION  
6.1 Challenges  
6.2 Applications  
6.3 Conclusion