Journal of Artificial Intelligence and Data Science

About the Journal

Journal of Artificial Intelligence and Data Science (JAIDS) is a reputable international academic journal dedicated to cutting-edge advancements in the fields of Artificial Intelligence (AI) and Data Science. Published periodically by Ascendium Academic Publishing, the journal provides a scholarly platform for researchers, academics, engineers, and industry practitioners to publish original findings, empirical studies, systematic reviews, and methodological innovations that significantly contribute to the development of theories, algorithms, applications, and ethical implications within the AI and Data Science ecosystem.

The journal welcomes contributions across a broad spectrum of topics, including—but not limited to—machine learning, deep learning, natural language processing, computer vision, big data analytics, data mining, AI ethics, explainable AI (XAI), AI for social good, and the integration of AI and data science in diverse sectors such as healthcare, finance, education, and environmental sustainability.

Ascendium Journal employs a rigorous peer-review process conducted by international experts to ensure the quality, originality, and scientific relevance of all published articles. Committed to the principles of open science, the journal operates under an open-access model, facilitating unrestricted global dissemination of knowledge regardless of geographic or institutional barriers.

With a vision to become a leading platform in data-driven and AI-powered digital transformation, the Ascendium Journal of Artificial Intelligence and Data Science actively fosters interdisciplinary collaboration and the exploration of innovative, impactful solutions to the world’s most pressing challenges.