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ICAICP 2026: International Conference on Artificial Intelligence and Computing Power

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ICAICP
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截稿日期:
2026-05-22
通知日期:
2026-05-28
会议日期:
2026-05-29
会议地点:
Hangzhou, China
届数:
1
浏览: 1055   关注: 0   参加: 0

会伴指数 (CP-I)

38.2 / 100
全站第 5,358 名 / 共 5,650 个会议 · 前 95%

人工智能与机器学习 第 693 / 735

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%)
19
社区关注 (10%)
17
资料公开度 (15%)
35

用到的输入: 有据可查的届次：1 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 2026-09-06

征稿

ICAICP 2026 (International Conference on Artificial Intelligence and Computing Power) is an academic conference held in Hangzhou, China on 2026-05-29. The paper submission deadline is 2026-05-22. Acceptance notifications are sent on 2026-05-28.

It is our great pleasure to invite you to the 2026 International Conference on Artificial Intelligence and Computing Power (ICAICP 2026) to be held in Hangzhou, China, May 29-31, 2026 will provide a forum within the international academic and engineering community in the field of Artificial Intelligence and Computing Power. The annual ICAICP conference aims to gather professors, researchers, scholars, and industrial pioneers from all over the world. ICAICP is the premier forum for the presentation and exchange of past experiences, new advances, and research results in the field of theory and industrial applications. The conference welcomes contributions that promote the exchange of ideas and discourse between educators and researchers worldwide. The organizing committee is pleased to invite prospective authors to submit their original manuscripts to ICAICP 2026. PUBLICATION All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings by ACM, and submitted to EI Compendex, Scopus for indexing. CALL FOR PAPERS Topics of interests are in the broad areas of Frontiers of Traffic and Transportation Engineering, including but not limited to: Artificial Intelligence Machine Learning Deep Learning Models and Architectures Natural Language Processing Computer Vision Pattern Recognition Reinforcement Learning Evolutionary and Bio-inspired Computation Knowledge Representation and Reasoning Data Mining and Knowledge Discovery Intelligent Agents and Multi-Agent Systems Human–Computer Interaction AI Safety and Trustworthy AI Explainable AI Adaptive and Autonomous Systems Intelligent Decision-Making Systems Computing Power High-Performance Computing (HPC) Distributed and Parallel Computing Cloud Computing Edge and Fog Computing Heterogeneous and Accelerated Computing Resource Scheduling and Management Large-Scale Data Center Systems Data Center Networking High-Speed Interconnects Storage Systems and Distributed File Systems Hybrid Cloud Storage Optimization Energy-Efficient and Carbon-Aware Computing Computing Power Optimization for AI Workloads AI-Driven System Optimization Virtualization and Container-Based Computing Integrated AI and Computing Power Systems
由 Dou Sun 最后更新于

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