Focus & Scope

The Advanced in Artificial Intelligent and Machine Learning (AAIML) journal aims to:

  • Promote the exchange of scientific knowledge and innovations in artificial intelligence and machine learning.
  • Encourage interdisciplinary research that integrates AI/ML with various domains such as business, education, healthcare, and engineering.
  • Foster critical discussions on emerging trends, challenges, and ethical issues in AI and intelligent automation.
  • Support collaboration between academia, industry, and policymakers to accelerate technological progress.

 

The scope of the journal includes, but is not limited to:

  • Artificial Intelligence Theory and Applications
  • Machine Learning Algorithms and Optimization
  • Deep Learning and Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision and Image Recognition
  • Data Mining and Big Data Analytics
  • Robotics and Automation Systems
  • Fuzzy Logic and Expert Systems
  • Reinforcement Learning and Predictive Modeling
  • Ethical AI and Responsible Innovation