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To ensure the diversity of the themes and uniqueness of our event, the organizing committee decide to change the event's name from International Conference on Artificial Intelligence and Computer Science (AICS) to International Conference on Artificial Intelligence, Computer Science and Information Processing (AICSIP).
Followed with the success of previous six sessions of International Conference on Artificial Intelligence and Computer Science (AICS), 2025 IEEE 7th International Conference on Artificial Intelligence, Computer Science and Information Processing (AICSIP 2025) will be held in Hangzhou, China during July 25-27, 2025.
Sponsored by IEEE China Council, organized by Hangzhou Normal University, AICSIP2025 will provide an academic platform on the communication of latest research and developmental activities in related areas and promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.
We look forward to seeing you in Hangzhou, China and also receiving your paper.
Conference Co-sponsors
Hangzhou Normal University, China
IEEE China Council
https://conferences.ieee.org/conferences_events/conferences/conferencedetails/65423
All accepted full papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements.
All papers submitted will be incorporated with a rigorous double-blind review process by at least two competent reviewers.
Conference Date:
July 25-27, 2025
Submission DDL:
(3rd round) June 17, 2025
Ms. Min
AICSIP Conference Secretary
Tel: 18971246137
Email: aics2019@163.com
Please submit paper(s) through our online submission system.
If the link doesn't work, please submit paper(s) to aics2019@163.com with the theme "Paper Submission + Your Telephone No.".
IEEE Template download
Call for papers
AICSIP 2025 is soliciting research papers describing significant innovative original research contributions related to artificial intelligence technologies (including but not limited to):