All full paper submissions will be peer reviewed and evaluated by our scientific committee based on its originality, technical and/or research content/depth/soundness, correctness, relevance to conference, contributions, and readability. Submission of a paper should be regarded as undertaking that, should the paper be accepted, at least one of the authors will attend the conference to present the paper via oral presentation or poster:

      Session 1 Artificial Intelligence
  • Algorithmic, experimental, prototyping and implementation

  • Big Data Algorithms, Applications and Services

  • Biometric Identification

  • Biocomputing and Bioinformatics

  • Computational Intelligence

  • Cognitive Processing

  • Computer Vision

  • Deep learning

  • Document Recognition and Understanding

  • Humanoid Robot

  • Space Robot

  • Chatbots

  • Intelligent Information Processing

  • Intelligent Modeling and Control Theory

  • Intelligent Vehicle

  • Intelligent Video Surveillance

  • Mass Information Processing

  • Multimedia Information Processing

  • Nature Language Processing

  • Nonlinear System

  • Pattern Recognition

  • Quantum Computation and Quantum Information

  • Speech and Character Recognition

  • Signal Processing

  • Unmanned Aircraft

  • Word Recognition

      Session 2 Applications of Machine Learning
  • Machine learning in medicine and healthcare

  • Machine learning in bioinformatics and systems biology

  • Machine learning in industrial and engineering applications

  • Machine learning in security applications

  • Machine learning in smart cities

  • Machine learning in game playing and problem solving

  • Machine learning in intelligent virtual environments

  • Machine learning in economics, business and forecasting applications, etc.

      Session 3 Data Sciences
  • Algorithms

  • Big Data & Analytics

  • Data integration

  • Distributed architecture

  • Automating machine learning

  • Data visualization

  • Dashboards and bi

  • Data engineering

  • Deployment in production mode

  • Automated, data-driven decisions