Journal of Artificial Intelligence & Computational Science (JAICS)

The Journal of Artificial Intelligence & Computational Science (JAICS) is a peer-reviewed, open-access journal dedicated to publishing high-quality research in the fields of artificial intelligence, machine learning, deep learning, data science, computational methods, and related interdisciplinary areas. Our mission is to promote knowledge dissemination and innovation by providing a rigorous and transparent review process for researchers, academicians, and industry professionals.

Open Access Policy

JAICS is an open-access journal, ensuring that all published research is freely available to readers worldwide without subscription or paywall barriers. We support the principles of knowledge sharing and collaboration in AI and computational sciences.

Focus & Scope

We welcome original research articles, review papers, technical reports, case studies, and book publications in topics including (but not limited to):

• Artificial Intelligence (AI) & Machine Learning (ML)
• Deep Learning & Neural Networks
• Natural Language Processing (NLP)
• Computer Vision & Image Processing
• Reinforcement Learning & Autonomous Systems
• Quantum Computing & AI
• Big Data & Cloud Computing
• Computational Biology & Bioinformatics
• Ethical AI, AI Governance, and AI Policy

Copyright & Licensing

All articles are published under a Creative Commons Attribution License (CC-BY 4.0), allowing authors to retain copyright while granting readers the freedom to share and adapt the content with proper attribution.

Peer Review Process

Submissions undergo a double-blind peer review by experts in the field. We ensure a fair, unbiased, and high-standard review process, with authors receiving constructive feedback to improve their work.

Sponsorship & Funding

JAICS operates independently and transparently. We do not charge authors for publication and rely on institutional support, research grants, and voluntary contributions. Any sponsorships or funding sources will be disclosed in relevant publications.

Archiving & Indexing

To ensure the long-term preservation and accessibility of published content, JAICS participates in LOCKSS and CLOCKSS archival systems. Our journal is also in the process of indexing in major academic databases, including IEEE Xplore, Scopus, Web of Science, and Google Scholar.

Privacy Statement

ReDAY.org adheres to strict privacy policies. Personal data collected from authors, reviewers, and readers is used solely for editorial and publishing purposes and is not shared with third parties.

Journal History

Founded in 2024, JAICS is committed to bridging the gap between theoretical research and practical applications in artificial intelligence and computational science. We invite researchers, academicians, and industry experts to contribute to this growing knowledge repository.

For more details, visit ReDAY.org.