About the Journal

Journal Name : Artifical Intelligence Research

About the Journal
Artificial Intelligence Research (AIR) is a double-blind, peer-reviewed, and open-access scholarly journal dedicated to advancing knowledge, theory, and applications in artificial intelligence (AI) and its related domains. The journal serves as a platform for publishing original, high-quality research that explores the design, development, and deployment of AI systems, algorithms, and technologies. Following a rigorous double-blind peer review process, AIR ensures fairness, transparency, and academic integrity by keeping author and reviewer identities confidential throughout the evaluation. As an open-access publication, it provides unrestricted access to all published content, fostering global scholarly communication and accelerating innovation. Guided by the Committee on Publication Ethics (COPE) principles, AIR upholds the highest standards of ethical publishing and originality.

Aim and Scope

Aim
The journal aims to provide a comprehensive forum for researchers, practitioners, and policymakers to share advances in AI theory, methodologies, and practical applications, contributing to both academic development and industry transformation.

Scope
Artificial Intelligence Research welcomes contributions, including, but not limited to:

  1. Machine Learning– Supervised, unsupervised, and reinforcement learning techniques.
  2. Deep Learning– Neural networks, convolutional models, and large language models (LLMs).
  3. Natural Language Processing (NLP)– Text mining, sentiment analysis, and multilingual language models.
  4. Computer Vision– Image recognition, object detection, and visual scene understanding.
  5. Robotics & Autonomous Systems– Intelligent control, path planning, and human–robot interaction.
  6. Expert Systems & Decision Support– Knowledge-based systems and AI-driven decision-making.
  7. AI Ethics & Policy– Fairness, transparency, bias mitigation, and regulatory frameworks.
  8. Speech & Audio Processing– Speech recognition, synthesis, and speaker identification.
  9. AI in Industry Applications– Healthcare, finance, education, smart cities, and manufacturing.
  10. Emerging Trends– Generative AI, quantum machine learning, edge AI, and federated learning.