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15th International Conference on Artificial Intelligence and Soft Computing (AISO 2026)

AISO 2026

URL: https://nldm2026.org/aiso/index
Event Date: 2026-05-23 ~ 2026-05-24
Submission Date: 2026-04-04
Organizer: AISO
Location: Vancouver, Canada

Artificial Intelligence

15^th International Conference on Artificial Intelligence and Soft Computing (AISO 2026)

May 23 ~ 24, 2026, Vancouver, Canada

https://nldm2026.org/aiso/index

Scope

15^th International Conference on Artificial Intelligence and Soft Computing (AISO 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

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.

Topics of Interest

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)

Paper Submission

Authors are invited to submit papers through the Submission System by April 04, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT) series (Confirmed).

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