CanAI Journal of Computer Science

The CanAI Journal of Computer Science serves as a platform for advancing the theoretical and applied foundations of artificial intelligence. It publishes work on core areas such as machine learning, deep learning, reinforcement learning, natural language processing, and computer vision, while also emphasizing AI ethics, fairness, and safety. Contributions may range from algorithmic innovations to applied systems in robotics, autonomous decision-making, or distributed AI. The journal’s goal is to provide a space where fundamental research and applied breakthroughs in computer science converge to shape the future of intelligent technologies.

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About This Journal

The CanAI Journal of Computer Science serves as a platform for advancing the theoretical and applied foundations of artificial intelligence. It publishes work on core areas such as machine learning, deep learning, reinforcement learning, natural language processing, and computer vision, while also emphasizing AI ethics, fairness, and safety. Contributions may range from algorithmic innovations to applied systems in robotics, autonomous decision-making, or distributed AI. The journal’s goal is to provide a space where fundamental research and applied breakthroughs in computer science converge to shape the future of intelligent technologies.

CanAI Journal of Computer Science is a leading publication in the field, focusing on cutting-edge research and innovative methodologies. We leverage artificial intelligence to enhance the peer review process and ensure the highest quality of published research.

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