Aims & Scope

Aims

Frontiers in Artificial Intelligence and Data Science (FAIDS) is dedicated to publishing high-quality, peer-reviewed research that advances knowledge in its field. We provide an inclusive platform for researchers worldwide to share innovative findings, theoretical frameworks, and empirical analyses that address contemporary challenges.

Scope

FAIDS welcomes original research articles, review papers, and scholarly contributions in the following areas (but not limited to):

• Machine Learning — Supervised/unsupervised learning, reinforcement learning, transfer learning
• Deep Learning — Neural architectures, transformer models, generative AI, foundation models
• Natural Language Processing — Text mining, sentiment analysis, machine translation, LLMs
• Computer Vision — Image recognition, object detection, video analysis, 3D reconstruction
• Data Engineering — Data pipelines, ETL processes, data quality, streaming analytics
• Big Data Analytics — Distributed computing, graph analytics, real-time processing
• AI Ethics & Governance — Fairness, transparency, explainability, responsible AI
• Applied AI — Healthcare AI, autonomous driving, smart manufacturing, fintech

Special attention is given to interdisciplinary studies that bridge multiple fields and address real-world problems.

Publication Model

• Access: Full Open Access (all articles freely available)
• License: Creative Commons Attribution 4.0 International (CC BY 4.0)
• APC: No Article Processing Charges — publishing is completely free
• Review: Double-blind peer review
• Language: English