Aims & Scope

The aim of the Scientific Journal of AI is to provide a rigorous, open platform for the dissemination of high-quality research at the intersection of artificial intelligence theory, methodology, and application.

Objectives:

• Publish original, peer-reviewed research advancing the theory and practice of AI;
• Support interdisciplinary work connecting AI with medicine, education, industry, and the social sciences;
• Provide early-career researchers a rigorous, transparent path to publication;
• Foster international collaboration and knowledge exchange in AI research.

Topics covered:

• Machine Learning & Deep Learning
• Natural Language Processing
• Computer Vision & Image Analysis
• Robotics & Autonomous Systems
• AI Ethics, Safety & Governance
• Knowledge Representation & Reasoning
• Reinforcement Learning
• AI in Healthcare, Education, and Industry
• Data Science & Big Data Analytics
• Human–AI Interaction
• Explainable AI (XAI)
• Neural Network Architectures