12th International Conference on Artificial Intelligence and Applications (AI 2026)
December 26 ~ 27, 2026, Dubai, UAE
Scope & Topics 12th International Conference on Artificial Intelligence and Applications (AI 2026) provides a premier international forum for presenting and exchanging the latest advances in Artificial Intelligence and its rapidly expanding applications across science, engineering, and industry. As AI continues to transform global technological landscapes, AI 2026 aims to bring together researchers, practitioners, and innovators to share innovative developments shaping the future of intelligent systems.
The conference seeks significant contributions in both theoretical foundations and practical applications of Artificial Intelligence and Soft Computing. AI 2026 encourages submissions that advance core methodologies such as self-supervised learning, neuro symbolic reasoning, continual learning and knowledge representation. AI 2026 is designed to foster collaboration between academia and industry, offering a platform where participants can discuss emerging challenges, share real world experiences, and explore transformative ideas across domains such as computer vision, natural language processing, robotics, AI hardware, healthcare AI, climate informatics and AI for social good.
Authors are invited to submit research results, innovative projects, survey papers, and industrial case studies that demonstrate significant advances in Artificial Intelligence and its applications.
Topics of interest include, but are not limited to, the following - Machine Learning
- Neural Networks and Deep Learning
- State Space Models (SSMs) and Mamba Architectures
- Self Supervised and Representation Learning
- Foundation Models and Large Scale Pretraining
- Generative AI, Diffusion Models and Flow Matching
- Mixture of Experts (MoE) and Sparse Transformers
- Test Time Compute, Test Time Training and Inference Time Optimization
- Speculative Decoding and Fast LLM Inference
- LLM Fine Tuning (LoRA/QLoRA) and Adaptation
- Preference Optimization (DPO/ORPO/IPO)
- LLM Evaluation, Hallucination Reduction and Long Context Models
- Memory Augmented Models and Differentiable Memory Systems
- Natural Language Processing
- Computer Vision
- Multimodal AI and Vision Language Models
- Audio Language and Video Language Models
- 3D Vision, NeRFs and Spatial AI
- Geospatial Foundation Models and Earth AI
- World Models and Predictive Simulation
- Retrieval Augmented Generation (RAG) and Graph RAG
- Reasoning, Formal Verification and Symbolic Neural AI
- Agentic AI and Autonomous LLM Agents
- LLM Multi Agent Systems and Emergent Social Behavior
- Multimodal Agents and Tool Use Pipelines
- Human AI Interaction, Teaming and Co Creativity
- Embodied AI and Robot Learning
- Vision Language Action (VLA) Models
- Simulation to Real (Sim2Real) Transfer
- Autonomous Systems, Space Robotics and Planetary Exploration
- AI for Autonomous Labs and Experimental Design
- Distributed Training and Parallel AI Systems
- Memory Efficient Training
- Inference Optimization and LLM Serving at Scale
- AI Hardware, Accelerators and Neuromorphic Computing
- Model Compression, Quantization and Efficient Inference
- AI Compilers and Software/Hardware Co Design
- Semantic AI, Knowledge Graphs and Graph Machine Learning
- Neural Search, Ranking and Recommendation
- AI Safety, Alignment and Responsible AI
- AI Red Teaming and Adversarial Testing
- Advanced AI Security: Extraction, Poisoning, Membership Inference
- AI Watermarking, Provenance and Model Fingerprinting
- AI Ethics, Governance and Policy
- AI for Code, Program Synthesis and Automated Debugging
- AI for Healthcare, Bioinformatics and Digital Health Twins
- Bio AI Foundation Models: Protein, Genome and Cell State Modeling
- AI for Scientific Discovery
- AI for Materials Science and Drug Discovery
- AI for Smart Cities, IoT and Intelligent Infrastructure
- AI for Climate and Environmental Modeling
- AI for Finance, Markets and Econometrics
- AI for Law, Policy and Legal Reasoning
- AI for Education and Personalized Learning
- AI for Social Good and Computational Social Science
Paper Submission Authors are invited to submit papers through the conference Submission System by November 07, 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 AI 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | November 07, 2026 | | Authors Notification | : | November 21, 2026 | | Final Manuscript Due | : | November 28, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to ai@ai2026.org
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