Journal of Artificial Intelligence Systems is an international journal of high repute covering topics of interest to all those researching and working in the field of deep learning, machine learning, and artificial intelligence on the basis of its originality, importance, interdisciplinary interest, accessibility, timeliness, elegance, and novelty.

Journal of Artificial Intelligence Systems (JAIS) aim is to provide a platform to serve researchers through prompt publication of significant advances in the field of natural intelligence studies and to provide a forum for the reporting and discussion of latest updates, progress, and application of scientific discoveries in Machine Learning and Deep Learning. JAIS will keep up to date with the latest advances and innovations in this field by providing free access to the research information.

JAIS Publishes articles exploring concepts, strategies, approaches, and issues of relevance to natural intelligence which make a significant and original contribution to theory and practice. These articles present innovative ideas, best practices, and leading-edge thinking about all aspects of publishing, authorship, and readership. Journal ensures that the results of science experiments are rapidly disseminated to the scientific community and public immediately after publication, thus providing higher citation rates for the author.

The Journal of Artificial Intelligence Systems (JAIS) is committed to publishing scholarly empirical and theoretical research articles, that have a high impact on the Immune system study. The journal encourages new ideas or new perspectives on existing research.

It welcomes and acknowledges high-quality theoretical and empirical original research articles, case reports, review articles, short communications, literature reviews, editorials, conceptual frameworks, short reviews from academicians, scientists, professionals, practitioners, and scholars from all over the world.

JAIS has a broad scope and welcome submissions from across a range of disciplines, and all aspect of Artificial Intelligence and Natural Intelligence functioning and practice that will make an advance improvement in this field. Articles written from a theoretical or applied perspective are welcome.