The Babylonian Journal of Artificial Intelligence (BJAI) serves as a prominent platform for the dissemination of cutting-edge research and advancements in the field of AI. It aims to foster interdisciplinary discussions and scholarly exchanges, embracing both theoretical developments and innovative applications within the realm of artificial intelligence.

Focus and Scope:

  • Advanced Machine Learning Techniques
  • Natural Language Processing and Understanding
  • Computer Vision and Image Recognition
  • Robotics and Autonomous Systems
  • Knowledge Representation and Reasoning
  • AI Ethics, Fairness, and Transparency
  • Intelligent Agents and Multi-Agent Systems
  • AI Applications in Healthcare and Medicine
  • Deep Learning Architectures and Applications
  • AI for Smart Cities and IoT (Internet of Things)
  • AI-driven Decision Making and Optimization
  • Human-AI Interaction and Collaboration
  • Ethical and Social Implications of AI Deployment
  • AI for Education and Learning Technologies

The journal strives to encompass a diverse array of AI-related topics, encouraging rigorous research contributions and discussions that shape the landscape of artificial intelligence across various disciplines and societal domains.