Scope  Call for Participation Program Schedule

12^th International Conference on Artificial Intelligence and Soft Computing (AISO 2026) serves as a premier global forum for presenting and exchanging the latest innovations, research findings, and developments in Artificial Intelligence, Soft Computing, and their rapidly evolving applications. As AI continues to transform science, engineering, industry, and society, AISO 2026 brings together leading researchers, practitioners, and industry experts to explore breakthroughs across foundational theories, emerging methodologies, and realworld implementations.

Authors are invited to submit original research articles, project reports, survey papers, and industrial case studies that demonstrate significant progress in the field. Submissions may address any of the conference themes, including, but not limited to, the topics listed below.

AI, Machine Learning and Theory


• Machine Learning Theory and Optimization
• Deep Learning Architectures and Training Dynamics
• Probabilistic Modeling, Bayesian Learning, and Uncertainty Quantification
• Reinforcement Learning and Sequential Decision Making
• Transfer, Meta Learning, and Continual Learning
• Causal Machine Learning and Reasoning
• Explainable, Interpretable, and Trustworthy AI
• AI Safety, Robustness, and Alignment
• Neuro Symbolic AI and Hybrid Reasoning Systems
• Optimization Methods for AI and Soft Computing

Generative AI and Foundation Models


• Large Language Models and Multimodal Foundation Models
• Generative Modeling (Diffusion Models, GANs, VAEs)
• Prompt Engineering, Adaptation, and Model Compression
• Scaling Laws, Data Centric AI, and Dataset Governance
• Responsible and Ethical Use of Generative AI

Natural Language, Speech and Multimodal Intelligence


• Natural Language Understanding and Generation
• Speech Recognition, Synthesis, and Conversational AI
• Multimodal Learning (Vision Language, Audio Language, 3DLanguage)
• Information Retrieval, Text Mining, and Document Intelligence
• Program Synthesis, Code Generation, and AI Assisted Software Engineering

Computer Vision and Perception


• Image and Video Understanding
• 3D Vision, Scene Reconstruction, and Embodied Perception
• Vision Language Models and Multimodal Perception
• Medical and Scientific Imaging
• Simulation to Real Transfer and Embodied AI

Data Science, Knowledge and Reasoning


• Data Mining, Knowledge Discovery, and Big Data Analytics
• Knowledge Graphs, Representation Learning, and Reasoning
• Graph Machine Learning and Geometric Deep Learning
• Heuristic Search, Planning, and Automated Decision Making
• Hybrid Intelligent Systems and Modern Soft Computing

Robotics, Autonomous Systems and Multiagent Intelligence


• Robot Learning and Human Robot Interaction
• Autonomous Vehicles and Intelligent Transportation
• Multiagent Systems and Cooperative AI
• Game Theory, Strategic Reasoning, and Game AI
• Learning Based Control and Adaptive Systems

AI Systems, Hardware and Efficiency


• Efficient AI: Model Compression, Quantization, and Tiny ML
• Edge AI, Embedded AI, and On Device Intelligence
• Neuromorphic and Brain Inspired Computing
• High Performance Computing for AI Workloads
• Distributed AI Systems and Scalable Training Infrastructure

Security, Privacy and Trust


• Adversarial Machine Learning (Attacks, Defenses, Robustness)
• Privacy Preserving ML (Differential Privacy, Federated Learning)
• Secure and Trustworthy AI Systems
• AI for Cybersecurity and Threat Detection

AI Applications


• AI for Healthcare, Precision Medicine, and Bioinformatics
• AI for Climate Science, Sustainability, and Environmental Modeling
• AI for Scientific Discovery and Simulation
• AI for Finance, Economics, and Decision Support
• Recommender Systems and Personalization
• Network Intelligence and Next Generation Communications

Human-centered AI


• Human AI Collaboration and Co Creativity
• Affective Computing and Emotion Aware Systems
• User Modeling, Personalization, and Adaptive Interfaces
• Ethical, Social, and Policy Implications of AI

AI for Social Good


• AI for Public Policy, Governance, and Civic Technology
• AI for Disaster Response and Humanitarian Aid
• AI for Education and Learning Technologies
• AI for Global Health and Social Impact

Frontier and Emerging Technology


• Quantum Machine Learning
• Green AI and Energy Efficient ML
• Trustworthy Autonomous Systems
• AI Governance, Regulation, and Responsible Deployment
• Computational Creativity (AI Generated Art, Music, Media)

Selected papers from AISO 2026, after further revisions, will be published in the special issue of the following journals

• The International Journal of Artificial Intelligence & Applications (IJAIA)
• International Journal of Fuzzy Logic Systems (IJFLS)
• International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
• Information Technology in Industry (ITII)