Conference Information
FAIML 2026: International Conference on Frontiers of Artificial Intelligence and Machine Learning
https://www.faiml.org/Submission Date: |
2025-11-21 |
Notification Date: |
2026-01-07 |
Conference Date: |
2026-04-10 |
Location: |
Hefei, China |
Years: |
5 |
Viewed: 20643 Tracked: 18 Attend: 2
Call For Papers
2026 5th International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2026) will take place in Hefei, China from April 10 to 12, 2026. FAIML 2026 welcomes academics, researchers, engineers, and industry professionals to an open forum where advances and trends in the related fields of artificial intelligence and machine learning can be shared and discussed. Artificial Intelligence (AI) and Machine Learning are disciplines of developing computers and robots capable of parsing data, learning from that data, and making informed decisions with what they've learned. The scope of topics to be covered in the conference includes significant developments, research topics and their applications. The Committee as a whole do our best to forge this fantastic platform where great minds gather and excellent ideas are shared. We do hope the smooth running of the conference will benefit all participants and even their communities. This conference is planned to be held in Hefei, a city with marvellous sceneries and profound cultural heritage. We would like to extend our warmest welcome to you, dear colleagues and friends.
Last updated by Dou Sun in 2025-08-30
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Full Name | Impact Factor | Publisher |
---|---|---|
SIGMOD Record | ACM | |
Natural Language Processing Research | Atlantis Press | |
Biomedical Signal Processing and Control | 4.900 | Elsevier |
Computing and Informatics | Institute of Informatics, Slovakia | |
World Wide Web | 2.700 | Springer |
Software Testing, Verification and Reliability | 1.500 | John Wiley & Sons, Ltd |
Journal of Web Semantics | 2.100 | Elsevier |
Human-centric Computing and Information Sciences | Springer | |
ACM Transactions on Modeling and Performance Evaluation of Computing Systems | 0.700 | ACM |
Security Informatics | Springer |
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