7th International Conference on Artificial Intelligence and Machine Learning (CAIML 2026)

Program Committee

Accepted Papers

Vienna, Austria

Scope Call for Participation Program Schedule

7^th International Conference on Artificial Intelligence and Machine Learning (CAIML 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. 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.

Call for Papers

7^th International Conference on Artificial Intelligence and Machine Learning (CAIML 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. 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 include, but are not limited to, the following

Artificial Intelligence Algorithms
Knowledge Representation and Reasoning
AI Agents, Multi‑Agent Systems and Autonomous AI
Neuro‑Symbolic AI
Machine Learning Algorithms and Theory
Deep Learning and Neural Networks
Generative AI and Diffusion Models
Foundation Models and Large‑Scale Pretraining
Multimodal Learning (Vision‑Language‑Audio)
Self‑Supervised and Representation Learning
Causal Machine Learning and Counterfactual Reasoning
Efficient ML: LoRA, MoE, Distillation and Quantization
Federated, Distributed and Parallel Learning

Continual, Lifelong and Streaming Learning
TinyML, Edge AI and On‑Device Intelligence
Adversarial ML, Robustness and AI Red‑Teaming
Explainable AI (XAI) and Interpretability
Data Mining, Knowledge Discovery and Neural Search
Knowledge Graphs and Semantic Technologies
Natural Language Processing and LLMs
Computer Vision, Pattern Recognition and Vision‑Language Models
Robotics, Reinforcement Learning and Embodied AI
Sim‑to‑Real Transfer and Robot Learning
Bioinformatics, Healthcare AI and Scientific Machine Learning
Climate AI, Sustainability and Geospatial Intelligence
Ambient Intelligence and Pervasive Computing
AI Ethics, Policy and Governance

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed. 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 CAIML 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch: Submissions after September 14, 2026

Submission Deadline

Closed

Authors Notification

October 17, 2026

Registration & camera - Ready Paper Due

October 20, 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 CAIML 2026