We are pleased to announce that the International Conference on Artificial Intelligence and Computer Engineering（ICAICE 2020）will be held on October 23-25 in Beijing, China. ICAICE 2020 is organized by the Automation School of Beijing University of Posts and Telecommunications, co-organized by Computer Academy of Guangdong, Minjiang University and CAA/MTC（中国自动化学会制造技术专业委员会）. Conference topics mainly include, but not limited to Frontier technologies of artificial intelligence, biometrics, AI for medical science, natural language processing, intelligent computing systems, AI for industry, etc.
ICAICE 2020 welcome all high-quality research papers and presentations from related research fields. The idea of the conference is for the scientists, scholars, engineers, and students from all over the world to present ongoing research activities, and hence to strengthen existing partnerships and foster new collaborations.
I would like to extend my sincere gratitude to all authors, speakers, presenters, sponsors, volunteers for your efforts and contributions to the conference. Looking forward to your participation!
Best Regards
Meeting Time: Oct. 23-25, 2020
Final Full paper Submission Due: September 21, 2020 Oct. 16, 2020
Final Abstract Submission Due: September 21, 2020 Oct. 16, 2020
Decision Notification: 5-7 working days after submission
Attendees Registration Due: Oct. 16, 2020
All accepted conference papers will be published by Conference Publishing Services, and then submit to Ei Compendex, Scoups and CPCI for retrieval. For more details, please check https://www.ieee.org/conferences_events/conferences/organizers/conf_app.html?confRecNum=51518
Note: All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.
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