• Machine Learning
• Deep Learning
• Soft Computing and Hybrid Intelligent Systems
• Foundation Models
• Generative AI and Diffusion Models
• LLM Agents and Agentic AI
• Retrieval Augmented Generation (RAG)
• Synthetic Data Generation
• Self-Supervised and Continual Learning
• Reinforcement Learning and Decision Making
• Causal Machine Learning
• Optimization for AI/ML
• Knowledge Representation and Knowledge Graphs
• Information Retrieval and AI Enhanced Search
• Graph Machine Learning and Graph Foundation Models
• Natural Language Processing
• Speech, Vision and Multimodal AI
• Video LLMs and Vision Language Action Models
• 3D/4D Vision, NeRFs and Reconstruction
• Long Context Models and Efficient Attention
• LLM Alignment and Preference Learning
• Robotics, Embodied AI and Robot Foundation Models
• Autonomous Systems and Learning Based Control
• AI Driven Simulation and World Models
• Bioinformatics, Biomedical AI and Computational Biology
• AI for Healthcare
• AI for Science, Materials and Climate Modeling
• AI Systems, MLOps and Distributed AI
• Edge AI, TinyML and AI Hardware
• Privacy Preserving AI
• AI Safety, Robustness and Adversarial ML
• AI Security and Red Teaming
• Fairness, Ethics and Responsible AI
• AI Driven Personalization and Recommendation Systems
• AI for Finance, Industry and Social Good
• Differentiable Programming and Program Synthesis
• AI Driven Software Engineering

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.