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CAIT 2026: International Conference on Artificial Intelligence Technology

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Submission Date:
2026-09-20
Notification Date:
2026-10-10
Conference Date:
2026-11-13
Location:
Guiyang, China
Years:
Viewed: 10030   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

48.0 / 100
Ranked #2,082 of 5,687 conferences · Top 37%

#221 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%)
56
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 7 · Researchers who opened this page in the past 24 months: 3

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 2026-09-27

Call For Papers

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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