Conference Information

CAIML 2026: International Conference on Artificial Intelligence and Machine Learning

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Submission Date:
2026-08-15 Extended
Notification Date:
2026-09-30
Conference Date:
2026-10-24
Location:
Vienna, Austria
Years:
Organizer:
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Call For Papers

CAIML 2026 (International Conference on Artificial Intelligence and Machine Learning) is an academic conference held in Vienna, Austria on 2026-10-24. The paper submission deadline is 2026-08-15 (extended). Acceptance notifications are sent on 2026-09-30.

7th International Conference on Artificial Intelligence and Machine Learning (CAIML 2026) October 24 ~ 25, 2026, Vienna, Austria https://cbiot2026.org/caiml/index Scope 7th 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 August 15, 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 CAIML 2026, after further revisions, will be published in the special issue of the following journals. • Machine Learning and Applications: An International Journal (MLAIJ) • International Journal of Artificial Intelligence & Applications (IJAIA) • International Journal on Soft Computing (IJSC) • International Journal of Database Management Systems (IJDMS) • International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) • Advances in Vision Computing: An International Journal (AVC) • International Journal of Network Security & Its Applications (IJNSA) Important Dates • Submission Deadline: August 15, 2026 • Authors Notification: September 30, 2026 • Registration & Camera-Ready Paper Due: October 07, 2026 Contact Us Here's where you can reach us: [email protected] (or) [email protected] For more details, please visit: https://cbiot2026.org/caiml/index Paper Submission Link: https://itcse2026.org/submission/index.php
Last updated by Kristi Jencks on

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