April-June-Issue
Vol. 1 No. 2 (2026)
The second issue of the Interdisciplinary Journal of AI, Machine Learning & Data Science (IJAIMLDS) builds upon the foundation established in our inaugural publication, continuing our commitment to disseminating rigorous, peer-reviewed research across the domains of artificial intelligence, machine learning, and data science.
January-March-Issue
Vol. 1 No. 1 (2026)
This inaugural issue of the Interdisciplinary Journal of AI, Machine Learning & Data Science (IJAIMLDS) marks the launch of a new interdisciplinary scholarly forum dedicated to the publication of high-quality, peer-reviewed research in artificial intelligence, machine learning, and data science. The contributions featured in this issue reflect the journal’s mission to advance innovative, data-driven inquiry and to foster meaningful collaboration across disciplinary boundaries.