Conference Information

AIAIS 2027: International Conference on Artificial Intelligence and Applied Intelligent Systems

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Submission Date:
2026-08-30
Notification Date:
2026-09-30
Conference Date:
2027-01-22
Location:
Hong Kong, China
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AIAIS
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Conference Partner Index (CP-I)

44.6 / 100
Ranked #3,038 of 5,695 conferences · Top 54%

#348 of 741 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
18
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 10

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 25% - 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 2026-10-11

Call For Papers

AIAIS 2027 (International Conference on Artificial Intelligence and Applied Intelligent Systems) is an academic conference held in Hong Kong, China on 2027-01-22. The paper submission deadline is 2026-08-30. Acceptance notifications are sent on 2026-09-30.

The conference solicits high-quality original research and engineering applications in Artificial Intelligence and Applied Intelligent Systems, including but not limited to the following areas: AI Algorithms and Computational Intelligence • Machine Learning, Deep Learning, and Reinforcement Learning • Neural Networks, Fuzzy Systems, and Evolutionary Computation • Foundation Models and Large Language Models • Generative Models and Representation Learning • Optimization Methods and Heuristic Algorithms • Explainable and Interpretable AI Data Analytics, Perception, and Intelligent Processing • Big Data Analytics and Distributed Data Processing • Data Mining and Knowledge Discovery • Computer Vision and Image/Video Processing • Natural Language Processing and Speech Technologies • Multimodal Data Fusion and Sensor Integration • Pattern Recognition and Signal Processing Intelligent Systems, Control, and Engineering Applications • Autonomous Systems and Robotics • Intelligent Control and Automation • Cyber-Physical Systems (CPS) • Internet of Things (IoT) and Edge Computing • Embedded AI and Real-Time Systems • Applications in Smart Manufacturing, Smart Grid, Healthcare, Transportation, and Smart Cities Trustworthy, Secure, and Emerging AI Systems • AI Safety, Robustness, and Reliability • Privacy, Security, and Adversarial Machine Learning • Fairness, Accountability, and Ethical AI • Distributed and Federated Learning • Energy-Efficient and Green AI • Emerging Technologies (e.g., Neuromorphic Computing, Quantum AI)
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