Artificial Intelligence Review presents critical reviews and tutorials on the latest advancements in artificial intelligence. The journal aims to bridge the gap between research and application in this rapidly evolving field. Its scope includes machine learning, knowledge representation, natural language processing, and robotics, providing a comprehensive view of AI's diverse sub-disciplines.
This journal features articles that examine the theoretical foundations, practical implementations, and societal impacts of artificial intelligence. Indexed in leading computer science databases, it serves as a valuable resource for researchers, developers, and practitioners in AI and related fields. Specific areas of focus include AI ethics, explainable AI, and the integration of AI with other technologies. By exploring the challenges and opportunities in AI research, the journal encourages responsible and innovative developments in the field.
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