The scope of the conference includes, but is not limited to:

Track 1: Intelligent Systems & Architectures

Adaptive and self-learning AI architectures
Distributed AI and edge intelligence
Neuromorphic and bio-inspired computing
Scalable AI for big data environments
Multi-agent intelligent systems and coordination
Knowledge representation and reasoning frameworks
Cognitive architectures and decision-making models

Track 2: Sustainability and Green AI

Energy-efficient machine learning algorithms
AI for renewable energy forecasting and optimization
Resource-aware computing and model compression
Sustainable data center management using AI
AI for climate modeling and carbon footprint reduction
Life-cycle analysis of AI systems
Low-power AI for embedded and IoT applications

Track 3: Societal Impact and Human-centric AI

Ethical and explainable AI (XAI)
AI for social good and equitable development
Human-in-the-loop AI systems
Bias detection and fairness in algorithms
AI for inclusive healthcare and education
Emotional intelligence and affective computing
AI governance, transparency, and policy frameworks