The Eduschool International Journal of Artificial Intelligence Research (EIJAIR) is a recognized scholarly platform dedicated to advancing knowledge and innovation in the field of artificial intelligence and intelligent systems. EIJAIR provides an environment that encourages cutting-edge research and fosters innovative approaches in machine learning, deep learning, and cognitive computing. Serving as a hub for AI researchers, data scientists, engineers, and practitioners, the journal facilitates collaboration, knowledge exchange, and impactful contributions to the rapidly evolving AI landscape.

Renowned for its academic and professional relevance, EIJAIR publishes high-quality research, critical analyses, and in-depth discussions across a broad spectrum of topics, including neural networks, intelligent agents, robotics, and applied AI solutions. With a particular focus on contemporary challenges—such as explainable AI, ethical and responsible AI, autonomous systems, generative models, and AI-driven decision-making—the journal provides comprehensive perspectives on the opportunities and complexities shaping modern artificial intelligence research.

Through its rigorous double-blind peer review process, EIJAIR maintains the highest standards of academic integrity, ensuring the publication of original and impactful scholarship. By fostering scholarly dialogue and interdisciplinary collaboration, the journal plays a vital role in advancing artificial intelligence and intelligent systems globally.

More than a publication, EIJAIR is a platform for innovation, critical thought, and transformative research. It invites scholars, professionals, and practitioners to join in its mission to drive AI advancement, strengthen collaboration, and inspire meaningful change in the field of artificial intelligence.

Focus Areas:

1. Machine Learning and Deep Learning
2. Neural Networks and Cognitive Computing
3. Natural Language Processing and Computational Linguistics
4. Computer Vision and Pattern Recognition
5. Robotics and Autonomous Systems
6. Expert Systems and Knowledge Representation
7. Intelligent Agents and Multi-Agent Systems
8. Reinforcement Learning and Decision Making
9. Generative AI and Large Language Models
10. Explainable AI and Interpretable Machine Learning
11. AI Ethics and Responsible AI
12. Edge AI and Embedded Intelligence
13. AI in Healthcare and Medical Diagnosis
14. AI for Business Intelligence and Analytics
15. Predictive Modeling and Forecasting
16. Speech Recognition and Synthesis
17. Sentiment Analysis and Opinion Mining
18. AI-driven Automation and Optimization