As Artificial Intelligence matures from experimental frameworks to the primary engine driving global digital transformation, the synergy between AI architectures and big data pipelines has become paramount. AIDA 2026 provides a premier global stage for presenting core algorithmic breakthroughs, novel methodologies, and engineering innovations in AI and intelligent data analytics. Co-located with IDSTA 2026, this joint event brings together researchers, industry experts, and practitioners to address the computing, ethical, and practical challenges of building an AI-driven future.

We invite original research contributions across a broad spectrum of AI-focused tracks:

Core Artificial Intelligence & Deep Learning: Deep neural network architectures, Reinforcement Learning, Evolutionary Computing, Neuro-symbolic AI, and Optimization techniques.

Generative AI & Foundation Models: Large Language Models (LLMs), Generative Adversarial Networks (GANs), multimodal AI, Retrieval-Augmented Generation (RAG), and prompt engineering frameworks.

Predictive & Intelligent Data Analytics: Cognitive business intelligence, automated feature engineering, smart predictive modeling, and real-time streaming data analytics.

Computer Vision & Pattern Recognition: Image processing, object detection, biometric identification, facial recognition, and computer-aided medical diagnostics.

Trustworthy, Safe, and Responsible AI: Explainable AI (XAI), algorithmic fairness, bias detection, privacy-preserving machine learning, and AI regulatory compliance.

Edge AI & Cyber-Physical Systems: Intelligent IoT networks, TinyML, autonomous robotics, smart transportation infrastructure, and cognitive edge computing.