AIAP 2026 - 13th International Conference on Artificial Intelligence and Applications (AIAP 2026)

Website https://ccseit2026.org/aiap/index | Edit Freely

Category AIAP 2026

Deadline: February 14, 2026 | Date: March 14, 2026

Venue/Country: Vienna, Austria, Austria

Updated: 2026-02-09 16:19:24 (GMT+9)

Call For Papers - CFP

March 14~ 15, 2026, Vienna, Austria

https://ccseit2026.org/aiap/index

Scope

13th International Conference on Artificial Intelligence and Applications (AIAP 2026)Artificial Intelligence continues to redefine the boundaries of science, engineering, and society. As AI systems grow more capable, multimodal, autonomous, and integrated into real world environments, the need for rigorous research, responsible innovation, and cross disciplinary collaboration has never been greater.

AIAP 2026 provides a premier international forum for researchers, practitioners, and industry leaders to share breakthroughs, explore emerging directions, and discuss the challenges shaping the future of AI. We invite high quality submissions presenting original research, significant results, innovative applications, and comprehensive surveys across the full spectrum of Artificial Intelligence.

AIAP 2026 invites submissions in all areas of Artificial Intelligence, including but not limited to the following major themes:

Topics of interest

Foundation Models, LLMs & Multimodal AI

Large Language Models (LLMs) and foundation model architectures

Multimodal AI: vision language, audio language, video language systems

Retrieval Augmented Generation (RAG) and knowledge grounded AI

Agentic AI, tool using agents, and autonomous LLM systems

Safety, alignment, hallucination mitigation, and trustworthy LLMs

Generative AI & Creative Intelligence

Diffusion models and generative transformers

Text, image, audio, and video generation

Generative 3D models (NeRFs, Gaussian splatting, 3D diffusion)

Synthetic data generation and evaluation

Generative agents, simulation environments, and digital twins

Robotics, Embodied AI & Autonomous Systems

Embodied AI and sensorimotor learning

Foundation models for robotics

Human robot interaction and collaboration

Autonomous navigation, manipulation, and control

Sim to real transfer and robot learning

AI for Science, Medicine & Engineering

AI for drug discovery, genomics, and computational biology

Scientific machine learning and physics informed AI

AI for climate modeling, sustainability, and energy systems

Medical imaging, diagnostics, and clinical decision support

AI for materials science and chemistry

Machine Learning Theory & Algorithms

Optimization, search, and learning theory

Self supervised, weakly supervised, and unsupervised learning

Reinforcement learning and RLHF

Probabilistic modeling and Bayesian learning

Causal inference, causal discovery, and causal representation learning

Knowledge, Reasoning & Cognitive Systems

Knowledge graphs and neuro symbolic AI

Automated planning and decision making

Explainable and interpretable AI

Cognitive architectures and computational reasoning

Semantic web technologies and linked data

Computer Vision, Speech & Language Technologies

Vision transformers and next generation CV models

3D vision, scene understanding, and embodied perception

Speech recognition, synthesis, and conversational AI

Advanced NLP, multilingual models, and low resource learning

Document intelligence and information extraction

AI Safety, Ethics, Fairness & Governance

Robustness, adversarial ML, and red teaming

Fairness, bias mitigation, and responsible AI

AI governance, regulation, and policy frameworks

Societal impacts of AI deployment

Ethical considerations in generative and autonomous systems

Scalable, Efficient & Green AI Systems

Distributed training, large scale ML systems, and HPC

Model compression, pruning, quantization, and distillation

Energy efficient AI and carbon aware computing

MLOps, deployment pipelines, and inference optimization

AI hardware acceleration (GPUs, TPUs, NPUs, custom chips)

Edge AI, IoT Intelligence & Pervasive Computing

TinyML and on device learning

Edge cloud collaborative intelligence

Ambient intelligence and smart environments

Real time AI for IoT and cyber physical systems

Data, Evaluation & Benchmarking

Dataset creation, curation, and governance

AI evaluation frameworks and benchmark design

Safety and robustness testing

Data centric AI and automated data quality improvement

Applied AI & Industry Innovation

AI for finance, manufacturing, and supply chains

Smart cities, transportation, and autonomous mobility

AI for cybersecurity and threat detection

AI in education, personalized learning, and EdTech

Industrial automation and intelligent systems

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 14, 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 (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed).

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

International Journal of Artificial Intelligence & Applications (IJAIA) – INSPEC, WJCI Indexed

International Journal of Fuzzy Logic Systems (IJFLS)

International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)

Information Technology in Industry(ITII)

Important Dates

Second Batch: Submissions after February 08, 2026

Submission Deadline : February 14, 2026

Authors Notification : March 03, 2026

Registration & Camera-Ready Paper Due :March 07, 2026

Contact Us

Here’s where you can reach us : aiapccseit2026.org