10th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2026)

AISCA 2026


Artificial Intelligence



10th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2026)



January 24 ~ 25, 2026, Copenhagen, Denmark





https://aisca2026.org/index



Scope



10th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2026) invites high‑quality research contributions from academia, industry, and government. The conference aims to bring together leading researchers, practitioners, and innovators to exchange ideas, present results, and explore future directions in Artificial Intelligence and Soft Computing.



We welcome original, unpublished research papers addressing theoretical foundations, methodologies, applications, and emerging trends in AI and soft computing.



Topics of interest





Track 1: Core Artificial Intelligence & Machine Learning



This track focuses on foundational and advanced methods in AI and ML, including algorithms, models, and reasoning systems.




  • Artificial Intelligence

  • AI Algorithms

  • Machine Learning & Deep Learning

  • Natural Language Processing

  • Computer Vision

  • Knowledge Representation & Reasoning

  • Pattern Recognition

  • Reactive Distributed AI

  • Symbolic Machine Learning

  • Neuro‑Symbolic AI

  • Explainable AI (XAI)

  • Trustworthy, Ethical & Responsible AI

  • AI Safety & Alignment



 



Track 2 : Soft Computing, Bio Inspired & Evolutionary Intelligence



This track highlights computational approaches inspired by natural systems and human reasoning.



 



 




  • Soft Computing Theory & Applications

  • Fuzzy Logic & Fuzzy Systems

  • Rough Sets

  • Evolutionary Computing

  • Swarm Intelligence

  • Morphic Computing

  • Neuro Fuzzy Systems

  • Bio Inspired Optimization

  • Evolutionary Deep Learning



 



Track 3: Data Science, Analytics & Intelligent Information Processing



This track covers data‑driven intelligence, analytics, and computational methods for extracting insights from complex data.




  • Data Mining & Machine Learning Tools

  • Data Visualization

  • Information Retrieval

  • Image Processing

  • AI based Signal Processing

  • Time Series Forecasting

  • Big Data Analytics

  • Predictive Analytics



Track 4: Intelligent Systems, Agents & Robotics



This track explores intelligent autonomous systems, agent‑based models, and robotics.




  • Robotics & Autonomous Systems

  • Human Robot Interaction

  • Software Agents & Multi‑Agent Systems

  • Intelligent System Architectures

  • Hybrid Intelligent Systems

  • Vision Recognition

  • Heuristic & AI Planning Strategies

  • Autonomous Vehicles & Intelligent Transportation



Track 5: Distributed, Edge & High‑Performance AI



This track focuses on scalable AI systems, distributed learning, and computational infrastructures.




  • Distributed AI Systems

  • Federated Learning

  • Edge AI & TinyML

  • High‑Performance Computing for AI

  • Cloud & Parallel AI Architectures

  • Scalable Machine Learning



Track 6: Cognitive Computing, Ambient Intelligence & Human‑Centered AI



This track examines AI systems that interact with, augment, or model human cognition and environments.




  • Cognitive Computing

  • Multimedia & Cognitive Informatics

  • Affective Computing

  • Human AI Collaboration

  • Pervasive Computing & Ambient Intelligence

  • Multimodal AI



 



Track 7: Emerging & Next Generation AI Technologies



This track highlights cutting‑edge and forward‑looking AI paradigms.




  • Generative AI & Foundation Models

  • Multimodal Foundation Models

  • Continual & Lifelong Learning

  • Transfer Learning

  • Quantum Machine Learning

  • Neuromorphic Computing

  • Unconventional Computing Paradigms



 



Track 8: AI Applications Across Domains



This track welcomes applied research demonstrating the impact of AI and soft computing in real‑world systems.




  • AI in Healthcare & Bioinformatics

  • AI for Smart Cities & IoT

  • AI for Cybersecurity

  • AI in Telecommunications & Networks

  • AI for Scientific Discovery

  • Web Intelligence & Semantic Technologies



Paper Submission



Authors are invited to submit papers through the conference Submission System by January 17, 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 (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed).



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



 





 



Important Dates




  • Submission Deadline: January 17, 2026(Final Call)

  • Authors Notification : January 22, 2026

  • Registration & Camera-Ready Paper Due : January 23, 2026



 



Contact Us: aisca@aisca2026.org



Submission Link: https://aisca2026.org/submission/index.php