ISSN (Print): 3107-1376 ISSN (Online): 3107-1376
MedPub Online International Journal of Medical Research Official Publication of Octopus Publication, Hong Kong
Cover of Vol. 2, Issue 2

Vol. 2, Issue 2

July-December, 2025

Volume 2 · 2025

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AI Tech International Journal (AITIJ) (ISSN: 3079-4749) invites researchers, scholars, industry experts, and practitioners worldwide to submit original research papers, reviews, and case studies for its upcoming issue, July-December, 2025. As a peer-reviewed, open-access publication based in Hong Kong, AITIJ provides a global platform to showcase high-quality theoretical advancements and real-world applications in artificial intelligence. We welcome multidisciplinary submissions across machine learning, natural language processing, computer vision, robotics, AI ethics, IoT, and big data analytics. All accepted articles receive a Crossref DOI, indexed listing in Google Scholar, and are published on a continuous online basis following a rigorous double-blind peer-review process.

Table of Contents

No. Article Pages Full text
1
Dr. Sidhant Goyal
1-8 Download PDF