Journal of Artificial Intelligence & Cloud Computing

 The Journal of Artificial Intelligence & Cloud Computing is a scholarly platform dedicated to advancing research at the intersection of intelligent systems and scalable cloud infrastructures. As artificial intelligence (AI) continues to transform industries ranging from healthcare and finance to manufacturing and education, the role of cloud computing in enabling scalable, cost-effective, and high-performance AI solutions has become increasingly vital. This journal serves as a hub for researchers, practitioners, and academicians who are shaping the future of these interconnected technologies.

Covering topics such as machine learning algorithms, deep learning architectures, distributed computing frameworks, edge-cloud integration, data security, and AI-driven cloud optimization, the journal emphasizes both theoretical advancements and practical implementations. It encourages interdisciplinary research that bridges gaps between algorithm design, system architecture, and real-world deployment challenges. Scholars looking to contribute innovative findings are encouraged to submit a Journal of Artificial Intelligence & Cloud Computing Research paper that highlights novel methodologies, experimental results, or transformative applications.

By promoting rigorous peer review and fostering global collaboration, the journal aims to accelerate innovation and support the responsible development of AI technologies powered by robust cloud ecosystems. Through knowledge sharing and academic excellence, it continues to contribute significantly to the evolving digital landscape.


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