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AI Open

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.

Topics covered include, but are not limited to:

  • Deep learning and representation learning
  • Graph theory and graph mining
  • Constraints, satisfiability, and search
  • Knowledge representation, reasoning, and logic
  • Machine learning and data mining
  • Knowledge graph and applications
  • Agent-based and multi-agent systems
  • Web and knowledge-based information systems
  • Natural language processing
  • Image processing and analysis
  • Uncertainty
  • Brain-based Learning
  • Implicit Cognition and Learning

Human Brain Research:

  • Hot topics in human brain-related health/diseases/social behavior
  • Brain Connectivity and network modeling
  • Brain intelligence paradigms
  • Neuro-informatics
  • Neuroimaging
  • Learning and memory
  • Cognition and behavior
  • health data analysis and statistics
  • Neuroimmunology
  • Sleep behavior
  • Deep brain stimulation

View full aims and scope

Editor-in-Chief: Jie Tang
View full editorial board

Imprint: KeAi
ISSN: 2666-6510
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