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Program

Conference tracks

Track 1

General, Trustworthy, and Autonomous Intelligence

Focus areas

General-purpose learning architectures
Autonomous decision-making systems
Self-supervised, lifelong, and meta-learning
Cognitive architectures and reasoning systems
Multi-agent intelligence and coordination
Embodied intelligence and adaptive agents
Planning, reasoning, and problem-solving systems
Explainable and interpretable AI
Fairness, bias detection, and mitigation
Ethical AI and governance frameworks
Causal reasoning and transparency in AI
Privacy-preserving and secure AI
Robustness, uncertainty, and reliability in AI systems
AI safety, alignment, and responsible deployment

Track 2

Generative, Quantum, and Scalable Intelligence

Focus areas

Large Language Models and foundation models
Multimodal generative systems
Retrieval-augmented generation (RAG)
Agentic AI and tool-augmented systems
Hallucination mitigation and controllability
Efficient and low-resource generative models
Synthetic data generation and augmentation
Quantum machine learning algorithms
Quantum neural networks and hybrid systems
Quantum optimization and reinforcement learning
Scalable AI systems and architectures
Distributed and high-performance AI systems
Energy-efficient and resource-aware AI
Green AI and sustainable model training
Resilient AI systems under constraints and failures

Track 3

AI for Healthcare and Intelligent Medical Systems

Focus areas

AI for medical imaging and diagnostics
Clinical decision support systems
Remote monitoring and digital health
AI in bioinformatics and precision medicine
AI-driven healthcare analytics and prediction
Intelligent medical devices and systems

Track 4

AI for Industry, Infrastructure, and Smart Systems

Focus areas

Smart manufacturing and Industry 4.0
Predictive maintenance and fault detection
Digital twins and simulation systems
Intelligent transportation systems
AI for IoT and cyber-physical systems
AI for energy management and smart grids
AI for agriculture and smart farming
AI for business intelligence and real-world deployment