12th International Conference on Artificial Intelligence and Applications (AIFU 2026)

Program Committee

Accepted Papers

Copenhagen, Denmark

Scope

The 12^th International Conference on Artificial Intelligence and Applications (AIFU 2026) provides a premier international forum for presenting new advances, research findings, and emerging innovations across the full spectrum of Artificial Intelligence. As AI continues to transform science, industry, and society, AIFU 2026 brings together leading researchers, engineers, practitioners, and scientists from around the world to exchange ideas, explore breakthroughs, and shape the future of intelligent systems.

Call for Papers

The scope of AIFU 2026 spans both the theoretical foundations and practical applications of AI, reflecting the rapid evolution of the field from machine learning, deep learning, and intelligent reasoning to foundation models, generative AI, robotics, and AI driven scientific discovery. The conference welcomes contributions that advance our understanding of modern AI techniques, architectures, algorithms, and real world deployments, as well as interdisciplinary work that bridges AI with domains such as healthcare, climate science, engineering, and human computer interaction.

Authors are invited to submit high quality research articles, case studies, survey papers, and industrial experiences that demonstrate significant progress in Artificial Intelligence and its diverse applications. Submissions may highlight novel algorithms, innovative systems, experimental results, or applied solutions that address real world challenges.

Topics of interest include, but are not limited to, the following

Foundation Models, Generative AI and Large Scale Learning

Large Language Models (LLMs), Vision Language Models (VLMs) and Multimodal Foundation Models
Generative AI: Diffusion Models, GANs, Autoregressive Models and Creative AI
Retrieval Augmented Generation (RAG), Memory Augmented Models and Long Context AI
Scaling Laws, Foundation Model Engineering and Model as a Service Architectures
Efficient AI: Distillation, Quantization, Pruning and Low Compute Training
Continual Learning, Lifelong Learning and Transfer Learning
Synthetic Data Ecosystems: Generation, Alignment, Governance and Evaluation

Machine Learning, Deep Learning and Computational Intelligence

Supervised, Unsupervised, Self Supervised and Contrastive Learning
Reinforcement Learning, Multi Agent RL and Decision Making Systems
Graph Neural Networks, Relational Learning and Structured Prediction
Probabilistic Modeling, Bayesian Learning and Uncertainty Estimation
Neuro Symbolic AI, Hybrid Reasoning and Differentiable Programming
Explainable AI (XAI), Interpretability, Trustworthy ML and Model Transparency

Knowledge Representation, Reasoning and Cognitive AI

Knowledge Graphs, Ontologies and Semantic Reasoning
Automated Planning, Heuristics and Intelligent Decision Making
Causal AI: Causal Discovery, Causal Representation Learning and Counterfactual Reasoning
Cognitive Architectures, Human AI Interaction and Cognitive Modeling
Neuroscience Inspired AI, Biologically Plausible Learning and Neural Coding
Logic Based AI, Constraint Solving and Automated Theorem Proving

Natural Language Processing, Conversational AI and Agentic Systems

Text Understanding, Summarization, Question Answering and Information Extraction
Dialogue Systems, Conversational Agents and LLM Based Assistants
Agentic AI: Tool Using Agents, Autonomous Research Agents and Multi Agent Collaboration
Multi Step Planning, Reasoning Chains and Agentic Workflows
Multilingual NLP, Low Resource NLP and Cross Lingual Transfer
Speech Recognition, Speech Synthesis and Spoken Language Understanding

Computer Vision, Robotics and Embodied Intelligence

Image/Video Understanding, Object Detection and Scene Analysis
Vision Language Models, Visual Reasoning and Multimodal Perception
Robotics, Motion Planning and Autonomous Systems
Embodied AI: Vision Language Action Models, Instruction Following Agents and Manipulation

Simulation to Real Transfer, 3D Perception and Embodied Reinforcement Learning
Human Robot Interaction and Collaborative Robotics

AI for Science, Engineering and Real World Applications

AI for Chemistry, Biology, Physics and Materials Science
AI for Drug Discovery, Protein Design and Molecular Simulation
AI for Climate Modeling, Sustainability and Environmental Intelligence
AI for Finance, Law, Education, Manufacturing and Smart Cities
AI Driven Software Engineering, Automated Code Generation and Program Synthesis
Intelligent Transportation, Autonomous Vehicles and Mobility Systems

Responsible AI, Ethics, Fairness and Safety

Bias Detection, Fairness and Inclusive AI
Privacy Preserving AI, Federated Learning and Secure ML
AI Safety, Alignment, Red Teaming and Jailbreak Prevention
Robustness to Adversarial Attacks and Distribution Shift
Governance, Policy, Regulation and Societal Impact of AI
AI Risk Management, Certification and Compliance

Fuzzy Systems, Soft Computing and Hybrid Intelligence

Fuzzy Logic, Type 2 Fuzzy Systems and Approximate Reasoning
Neuro Fuzzy Systems, Evolutionary Fuzzy Systems and Hybrid Soft Computing
Fuzzy Modeling, Control Systems and Intelligent Automation
Soft Computing for Optimization, Pattern Recognition and Decision Support

Data Mining, Knowledge Discovery and Intelligent Information Systems

Data Mining, Predictive Analytics and Pattern Recognition
Information Retrieval, Semantic Search and Vector Databases
Big Data Analytics, Stream Processing and Real Time Intelligence
Cognitive Informatics and Intelligent Information Systems

AI Engineering, Infrastructure and Scalable Architectures

AI Evaluation Science: Benchmarking, Meta Evaluation and Stress Testing
AI Observability, Monitoring, Debugging and Failure Analysis
MLOps, Model Deployment, Lifecycle Management and AI Pipelines
Distributed AI, Parallel Training and High Performance ML Systems
AI Hardware Acceleration (GPUs, TPUs, Neuromorphic Computing)
Software and Hardware Architectures for Scalable AI Systems

Social AI, Computational Social Science and Human Centered AI

AI for Social Networks, Influence Modeling and Social Simulation
Toxicity Detection, Content Moderation and Misinformation Analysis
AI for Political Discourse, Public Opinion and Social Dynamics
Human Centered AI, User Modeling and Personalized AI Systems

Paper Submission

Authors are invited to submit papers through the conference Submission System by June 13, 2026(Final Call). 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 AIFU 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch : submissions after May 11, 2026

Submission Deadline

June 13, 2026(Final Call)

Authors Notification

June 20, 2026

Registration & camera - Ready Paper Due

June 22, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to AIFU 2026