In Conjunction with 18th CISIS-2024 Conference

Scope

Advanced intelligent computing is usually defined as advanced computing methods and techniques based on classical computational intelligence, artificial intelligence, and intelligent agents. Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data.

The aim of AICML workshop is to gather innovative academic and industrial research results related to all aspects of advanced intelligent computing and machine learning applications, ranging from conceptual and theoretical developments to advanced technologies and innovative applications and tools. Topics of interest for the workshop include, but are not limited, to the following:

  • Parallel/Distributed Meta- and Hyper-Heuristics
  • Intelligent Services and Web Intelligence in Parallel/Distributed Environments
  • Large Parallel/Distributed Multi-Agent Systems
  • Data and Computing Intensive Applications
  • Optimized Query and Performance Evaluations
  • Intelligent Mechanisms/Heuristics/Rules for Scheduling, Resource Allocation and Management in P2P, Grid, Cluster, and Cloud Computing
  • Autonomic, Adaptive, and Self-organising Distributed Computing and Systems
  • Large-scale Collaborative Problem Solving Environments
  • Methodology and Practice of Semantic Grid and Web for Large Systems
  • Large/Complex Machine Learning Environments
  • Distributed Bio-inspired Computing
  • Trust, Integration, and Security in Large-scale Distributed Systems
  • Intelligent Integration of Complex Data and Processes
  • Intelligent Methods for Large Social Networks and Virtual Enterprises
  • Nature-inspired Methods/Heuristics for Large Problem Solving Environments.
  • Algorithms and Applications relating the above mentioned research areas.