Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793) stands as a worldwide, peer-reviewed, open-access digital journal dedicated to promptly sharing original research in the field.

In addition to original research, the journal encourages review papers, including mini-reviews focused on a very specific topic. 

The topics covered by the Journal include but are not limited to: 

• Artificial Intelligence – Theory and Practice 
• Approximate and Probabilistic Reasoning 
• Artificial Intelligence in Medicine and Healthcare 
• Autonomous Vehicles 
• Big Data  
• Bioinformatics 
• Biometric Systems 
• Brain Computer Interface 
• Computational Intelligence 
• Computer Visions 
• Deep Learning 
• Evolutionary Systems 
• Fuzzy Systems 
• Genetic Algorithms 
• Graphical Models in Machine Learning 
• Human-computer Interface including Assistive Systems 
• Image Processing and Understanding 
• Knowledge-based and agent-based systems  
• Kernel Methods in Machine Learning 
• Natural Language Processing and Understanding 
• Neural Networks 
• Optimization 
• Planning and Scheduling 
• Pattern Recognition 
• Quantum Methods in Machine Learning 
• Robotics 
• Statistical Learning Theory