About the Journal

Journal of Artificial intelligence and data science publishes research on basic and novel technologies and developments in artificial intelligence and data science.

As we understand that the goal of artificial intelligence is to make a computer learn, analyse and solve the problems using data provided by data science or vice versa. Therefore, this journal accepts papers from different areas of AI and data science -

Scope of the Journal

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Reinforcement Learning
  • Neural Networks
  • Evolutionary Computation
  • computer vision
  • Robotics
  • Experts systems
  • Speech processing
  • natural language Processing
  • speech processing
  • automatic programming
  • algorithms for problem-solving; knowledge representation and reasoning;
  • pattern recognition
  • Biometrics
  • fuzzy logic
  • AI and Philosophy
  • AI applications – medical diagnosis, Remote sensing, Air traffic control, Industries, Construction and manufacturing, Telecommunication, engineering, etc.
  • Computational Biology
  • Recommender Systems
  • Algorithmic Game Theory and Computational Mechanism Design
  • Internet of things
  • Neuromorphic Computing
  • AI ethics
  • Data mining
  • Data representation
  • Data analytics
  • Database
  • Statistical modelling and analysis
  • Optimization
  • Big data
  • Data stewardship
  • Data re-use
  • Data policy. etc

the papers should generalize the importance of their contribution and show how their work has wide significance or application beyond their core study.