Integration of AI and Edge Computing: Exploring the synergy between artificial intelligence and edge computing for enhanced IoT applications
Keywords:
AI, edge computing, IoTAbstract
The integration of artificial intelligence (AI) and edge computing has emerged as a transformative paradigm for enhancing Internet of Things (IoT) applications. This paper provides a comprehensive overview of the synergy between AI and edge computing, highlighting their combined potential to improve efficiency, reduce latency, and enhance data privacy and security in IoT environments. We discuss key concepts, challenges, and opportunities in integrating AI with edge computing and present case studies and use cases that demonstrate the practical benefits of this integration. Additionally, we analyze the future trends and research directions in this field, outlining strategies to leverage AI and edge computing for developing innovative and sustainable IoT solutions.
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Tatineni, S., and A. Katari. “Advanced AI-Driven Techniques for Integrating DevOps and MLOps: Enhancing Continuous Integration, Deployment, and Monitoring in Machine Learning Projects”. Journal of Science & Technology, vol. 2, no. 2, July 2021, pp. 68-98, https://thesciencebrigade.com/jst/article/view/243.
Shahane, Vishal. "Optimizing Cloud Resource Allocation: A Comparative Analysis of AI-Driven Techniques." Advances in Deep Learning Techniques 3.2 (2023): 23-49.
Abouelyazid, Mahmoud. "Comparative Evaluation of SORT, DeepSORT, and ByteTrack for Multiple Object Tracking in Highway Videos." International Journal of Sustainable Infrastructure for Cities and Societies 8.11 (2023): 42-52.
Prabhod, Kummaragunta Joel. "Advanced Techniques in Reinforcement Learning and Deep Learning for Autonomous Vehicle Navigation: Integrating Large Language Models for Real-Time Decision Making." Journal of AI-Assisted Scientific Discovery 3.1 (2023): 1-20.
Tatineni, Sumanth, and Sandeep Chinamanagonda. “Leveraging Artificial Intelligence for Predictive Analytics in DevOps: Enhancing Continuous Integration and Continuous Deployment Pipelines for Optimal Performance”. Journal of Artificial Intelligence Research and Applications, vol. 1, no. 1, Feb. 2021, pp. 103-38, https://aimlstudies.co.uk/index.php/jaira/article/view/104.
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