Trailblazing Technologies: AI Automation, Machine Learning, and Electric Vehicles Battery Materials in the Cloud

Authors

  • Douglas Ethan Department of Computer Engineering, University of Idaho Author

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), Electric Vehicles (EVs), Battery Materials, Cloud Computing, Automation, Data Analytics

Abstract

This paper explores the intersection of trailblazing technologies - Artificial Intelligence (AI) automation, Machine Learning (ML), and Electric Vehicles (EVs) battery materials - within the realm of Cloud Computing. As the automotive industry shifts towards electrification and automation, the integration of AI and ML algorithms into EVs, coupled with advancements in battery materials, has become crucial for enhancing vehicle performance, range, and efficiency. This paper investigates the role of Cloud Computing in enabling the seamless integration of these technologies, facilitating data analytics, remote monitoring, and over-the-air updates. Through a comprehensive review, we highlight the synergies between AI automation, ML, and EVs battery materials, and their transformative potential in revolutionizing the future of transportation

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Published

2023-11-23

How to Cite

Trailblazing Technologies: AI Automation, Machine Learning, and Electric Vehicles Battery Materials in the Cloud . (2023). International Journal of Advanced Engineering Technologies and Innovations, 1(02), 59-71. https://ijaeti.com/index.php/Journal/article/view/177

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