The International Journal of Artificial Intelligence & Data Science (IJAIDS) is a peer-reviewed, open-access journal dedicated to the advancement of research and innovation in the fields of Artificial Intelligence (AI) and Data Science. We aim to provide a global platform for researchers, practitioners, academicians, and industry experts to disseminate original, high-quality, and impactful work that addresses the latest challenges and opportunities in intelligent systems and data-driven technologies.
Our journal covers a broad spectrum of topics, including but not limited to: machine learning, deep learning, natural language processing, computer vision, big data analytics, data mining, robotics, intelligent systems, and ethical implications of AI. IJAIDS encourages interdisciplinary research and welcomes submissions that bridge the gap between theory and application.
Published quarterly, IJAIDS upholds rigorous academic standards through a double-blind review process, ensuring that every paper meets the highest levels of scholarly integrity and relevance. We are committed to fostering innovation, promoting ethical research, and contributing to the development of AI and data science for the betterment of society.
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