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International Conference on Mathematics and Artificial Intelligence ICMAI on March 19-21, 2021 in Chengdu, China
- Short Name: ICMAI
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.icmai.org/
- Program URL: http://www.icmai.org/prog.html
- Contact URL: http://www.icmai.org/contact.html
- Contact E-mail: [email protected]
- Location: Chengdu, China
- Date: March 19-21, 2021
- Final Submission: February 01, 2021
- Organization: YOUNG
- Conference Tags: artificial intelligence mathematics applied mathematics computational mathematics pure mathematics
Publication：
The ISBN number assigned to ICMAI 2021 is 978-1-4503-8946-4
Accepted papers will be included into ICMAI 2021 Conference Proceedings, which will be published in the International Conference Proceedings Series and will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Journal Recommended: Mathematics (ISSN 2227-7390) is a peer-reviewed open access journal which provides an advanced forum for studies related to mathematics, and is published semimonthly online by MDPI.
Indexed in the Science Citation Indexed Expanded - SCIE (Web of Science) from Vol. 4 (2016) and Scopus. / Impact Factor: 1.747 (2019)
Conference Schedule：
March 19, 2021 /10:00-16:00/ Sign in and Collect Conference Materials
/14:00 - 16:30/ Academic Visiting
March 20, 2021 /09:00 – 18:00/ Openning Remarks & Keynote Speech & Author Presentation(Oral/Poster)
March 21, 2021 /09:00 – 18:00/ Parallel Sessions
Contact:
Ms. Shell Xiao (Conference Secretary)
E-mail: [email protected]
Tel: +86-028-86527868
Topic about:
Mathematical Foundations
Mathematics, general
Artificial Intelligence (incl. Robotics)
AI and Digital Entertainment
AI and Education
AI and Smart Cities
AI applications
AI architectures
AI in Learning Environments
Information Agents
Information Retrieval and Extraction
Knowledge Acquisition
Knowledge Engineering
Knowledge Representation
Knowledge Representation
Learning in adaptive systems
Machine Consciousness
Machine Learning
Name: YOUNG
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