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

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AISC''
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截稿日期:
2026-09-12
通知日期:
2026-10-24
会议日期:
2026-11-21
会议地点:
London, UK
届数:
浏览: 27145   关注: 2   参加: 3

会伴指数 (CP-I)

52.7 / 100
全站第 1,101 名 / 共 5,687 个会议 · 前 20%

人工智能与机器学习 第 96 / 741

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
73
社区关注 (10%)
24
资料公开度 (15%)
55

用到的输入: 有据可查的届次：14 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-29

征稿

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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