Conference Information

AISC'' 2026: International Conference on Artificial Intelligence, Soft Computing

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Submission Date:
2026-09-12
Notification Date:
2026-10-24
Conference Date:
2026-11-21
Location:
London, UK
Years:
Viewed: 27146   Tracked: 2   Attend: 3

Conference Partner Index (CP-I)

52.7 / 100
Ranked #1,101 of 5,687 conferences · Top 20%

#96 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
73
Community attention (10%)
24
Public record completeness (15%)
55

Inputs used: Editions on record: 14 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-29

Call For Papers

AISC'' 2026 (International Conference on Artificial Intelligence, Soft Computing) is an academic conference held in London, UK on 2026-11-21. The paper submission deadline is 2026-09-12. Acceptance notifications are sent on 2026-10-24.

14th International Conference on Artificial Intelligence, Soft Computing (AISC 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing 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 AI Algorithms Machine Learning Deep Learning Foundation Models and LLMs Generative AI Efficient AI / Small Language Models Reinforcement Learning Computational Learning Theory Agentic AI Systems LLM Based Planning and Reasoning Self Improving AI Memory Augmented Neural Models Multi Agent Systems Reactive and Distributed AI Neuro Symbolic AI Knowledge Representation and Reasoning Natural Language Processing Computer Vision Speech and Audio Intelligence Multimodal AI Pattern Recognition Signal and Image Processing Soft Computing Fuzzy Logic and Fuzzy Systems Neural Networks Evolutionary Computing Evolutionary Deep Learning Hybrid Intelligent Systems Probabilistic Reasoning Rough Sets and Granular Computing Meta heuristic Optimization Bio Inspired Metaheuristics Fuzzy Cognitive Maps Data Mining and Knowledge Discovery Graph Machine Learning Streaming Data and Real Time ML Information Retrieval RAG Systems and Knowledge Intensive AI Causal Machine Learning AI Driven Data Quality and Governance Data Visualization Robotics LLM Powered Robotics Embodied AI Swarm Intelligence and Swarm Robotics Autonomous Systems Agentic Robotics AI Driven Mechatronics Vision Based Robotics Bioinformatics Biomedical Engineering AI in Healthcare AI for Mental Health AI for Accessibility Semantic Web and Knowledge Graphs Web Intelligence and Search Cognitive Informatics Pervasive Computing and Ambient Intelligence Intelligent Networks Nano and Micro Systems (AI Driven) Automatic Control and Intelligent Control Software and Hardware Architectures for AI Programming Languages for AI Model Compression and Distillation On Device AI / TinyML AI Benchmarking and Evaluation AI for Climate and Sustainability Synthetic Data Generation Recent Trends and Emerging Developments
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