会议信息

CAIT 2026: International Conference on Artificial Intelligence Technology

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截稿日期:
2026-09-20 已截稿
通知日期:
2026-10-10
会议日期:
2026-11-13
会议地点:
Guiyang, China
届数:
浏览: 10205   关注: 0   参加: 0
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会伴指数 (CP-I)

48.0 / 100
全站第 2,174 名 / 共 5,761 个会议 · 前 38%

人工智能与机器学习 第 236 / 752

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%)
56
社区关注 (10%)
10
资料公开度 (15%)
55

用到的输入: 有据可查的届次：7 · 过去 24 个月打开过本页的研究者：3 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 1.2 · 算于 2026-10-27

征稿

CAIT 2026 (International Conference on Artificial Intelligence Technology) is an academic conference held in Guiyang, China on 2026-11-13. The paper submission deadline is 2026-09-20. Acceptance notifications are sent on 2026-10-10.

Example topics of interest includes but is not limited to the following: Artificial Intelligence and Machine Learning Machine perception and human-machine interaction Machine learning algorithm design Pattern recognition Computer vision Intelligent information processing Natural language processing Robotics and intelligent systems Artificial neural networks Bayesian networks Bioinformatics Cognitive science Data mining Neuroinformatics Planning science Knowledge representation Statistical learning Deep learning Reinforcement learning Reasoning and evolution Fuzzy logic and methods Applications of Artificial Intelligence Robotics and perception Multiagent systems Programming languages The applications of AI Hardware of AI Software of AI Human-Machine Interaction Machine perception and human-machine interaction Natural language processing Robotics and intelligent systems Computer vision Data Mining and Machine Learning Machine learning algorithm design Pattern recognition Data mining Bayesian networks Computational theories of learning; computing and the mind Statistical learning Deep learning Reinforcement learning Fuzzy logic and methods Artificial Intelligence and Robotics Robotics and intelligent systems Artificial neural networks Planning science Reinforcement learning Reasoning and evolution Artificial intelligence for cyber security (AICS)
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