The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) presents current advances in machine learning and machine intelligence through deep learning, reinforcement learning, applied AI, NLP, emerging paradigms and human-centered, ethical AI.

Key Topics

• Deep Learning and Neural Architectures
  • Architectural advances
  • Efficient training techniques
  • Graph neural networks
  • Generative models
  • Neural architecture search
  • Transfer learning
  • Real-time AI systems
• Reinforcement Learning and Sequential Decision Making
  • Advanced reinforcement learning algorithms
  • Multi-agent reinforcement learning
  • Time series and sequential data
  • Predictive modeling
  • Anomaly detection
  • Sequential decision making
• Applied Machine Intelligence
  • Machine learning in healthcare
  • AI in robotics
  • AI for cybersecurity
  • Biometric and behavioral analytics
  • Industry-specific applications
• Natural Language Processing and Multimodal Learning
  • Large language models
  • Multilingual and low-resource NLP
  • Multimodal machine learning
  • Cross-modal retrieval and generation
• Emerging Paradigms and Future Directions
  • Quantum machine learning
  • Federated and distributed learning
  • AutoML and meta-learning
  • Sustainable and green AI
  • Hybrid models
• Explainable, Ethical, and Human-Centered AI
  • Explainable AI (XAI)
  • Ethical AI and fairness
  • Privacy-preserving machine learning
  • Human-centered AI
  • Augmented intelligence

Who should Attend

• AI researchers and scientists
• Machine learning engineers
• Data scientists and analysts
• Academic faculty and students
• Professionals in robotics, cybersecurity and healthcare
• Industry leaders applying AI solutions
• Developers working on NLP and multimodal systems
• Experts in ethical, explainable and human-centered AI