Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas but are not limited to:
Innovations in Machine Learning Algorithms
Deep Learning Architectures
Reinforcement Learning
Transfer Learning
Explainable AI
Federated Learning
Meta-learning
Ensemble Methods
Generative Adversarial Networks (GANs)
Automated Machine Learning (AutoML)
Multimodal Learning
Future Trends and Research Directions in AI
Human-AI Collaboration
Next-Generation Robotics
AI for Climate Change
Societal Adaptation to AI
Hybrid AI Systems
Advanced AI Benchmarking
AI and Blockchain
Trends in AI Hardware
Cross-disciplinary Research in AI
The Future of AI in Creative Industries
Applications of AI and Machine Learning Across Industries
AI in Healthcare
Financial Technology
Smart Cities
AI in Manufacturing
Natural Language Processing
AI for Environmental Sustainability
Autonomous Vehicles
AI in Education
Cybersecurity
Sports Analytics
Integrating AI with Emerging Technologies
AI and the Internet of Things (IoT)
Synergies between AI and Edge Computing
Blockchain and AI
AI in Augmented Reality (AR) and Virtual Reality (VR)
The Role of AI in 5G and Beyond
Convergence of AI and Cyber-Physical Systems
AI for Quantum Computing
Utilizing AI in Cloud Computing Services
Interdisciplinary Approaches
AI and Autonomous Systems
Conference Proceedings
Accepted and registered full papers will be published in the IEEE Conference Proceedings, included in IEEE Xplore, and submitted for indexing in Ei Compendex and Scopus. AAIML 2026 conference is on the IEEE Conference Search/Call for Papers website.
Submission Guideline: Click
