The inaugural issue of the Journal of Interdisciplinary Research in Science and Technology (JIRST) marks the beginning of a scholarly platform dedicated to advancing innovative research across science, engineering, and emerging technologies. This first issue brings together high-quality review and research articles that explore transformative fields such as Artificial Intelligence, Machine Learning, Deep Learning, and their interdisciplinary applications.

Volume 1, Issue 1 emphasizes the integration of theoretical foundations with real-world problem-solving approaches. The published works highlight technological advancements, methodological innovations, ethical considerations, and future research directions that shape modern scientific progress. By encouraging collaboration across disciplines, this issue aims to bridge gaps between computer science, engineering, healthcare, environmental studies, and applied sciences.

The editorial vision of JIRST is to promote rigorous peer-reviewed research, foster academic excellence, and provide a global forum for researchers, scholars, and practitioners. This inaugural issue sets the foundation for future volumes by maintaining high academic standards, encouraging interdisciplinary dialogue, and supporting sustainable technological innovation.

We extend our sincere appreciation to the authors, reviewers, and editorial board members who contributed to the successful launch of this first issue.