Topics

ICMLAI-2026 provides leading forum for the presentation of new advances and research results in the fields of Machine Learning and Artificial Intelligence. Accordingly , Topics of interest for submission include, but are not limited to:

  • Machine Learning & Artificial Intelligence
  • Deep Learning, Neural Networks and Computational Intelligence
  • Natural Language Processing & Speech Technologies
  • Image, Video and Multimodal Recognition
  • Reinforcement Learning & Multi-Agent Systems
  • Explainable AI (XAI), Ethics and Trustworthy AI
  • Precision Medicine and AI in Healthcare & Life Sciences
  • Biomedical Engineering, Signal Processing and Control Algorithms
  • AI in Healthcare, Medical Science and Biotechnology
  • Generative, Dynamical and Probabilistic Models
  • Adaptive Automation in Engineering using Intelligence
  • Edge AI, TinyML and Mobile AI Systems
  • Federated Learning & Privacy-Preserving AI
  • Signal Processing and Control Algorithms
  • AI and Robotics in Surgery & Medical Applications
  • Industrial Applications of AI & Intelligent Automation
  • Adaptive Automation in Engineering using AI
  • Safe Computing, Cybersecurity and Cyber Intelligence
  • Data Mining, Big Data Analytics & Network Security
  • AI for Networking, IoT, Sensor and Bluetooth Systems
  • Algorithms, Routing Protocols and Network Processing
  • AI in Space Exploration & Autonomous Systems
  • Transfer Learning, Ensemble Learning & Few/Zero-Shot Learning
  • Grid, Mobile and Evolutionary Computing
  • AI for Climate Science, Energy and Sustainability
  • Robustness in Machine Learning and Chatbots
  • Human-AI Collaboration and Augmented Intelligence
  • Generative AI for Science & Engineering