We are pleased to announce that the 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023) will be held in Chongqing, China during October 27-29, 2023. MLMI 2023 is organized by Chongqing University of Posts and Telecommunications, China, hosted by School of Automation, Chongqing University of Posts and Telecommunications, China, and assisted by Hangzhou Normal University, China.

Insightful presentations, engaging discussions, vibrant networking – MLMI 2023 has it all. With leading academics on the scientific committee of the event, the program is guaranteed to address the most relevant topics in the field of machine learning and machine intelligence. It's an opportunity to source feedback on your research, to get published in conference proceedings, and to explore the beautiful city Chongqing, China.

We invite you to join us for three days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.

第六届机器学习与机器智能国际会议将于2023年10月27-29日在中国重庆召开。本次会议由重庆邮电大学主办，重庆邮电大学自动化学院承办 ，杭州师范大学协办。

机器学习与机器智能作为实现人工智能的途径，该领域的研究工作近十几年来迅速发展。机器学习与机器智能国际会议于2018年应运而生，迄今为止在国内外学者的支持下已分别于越南、印度尼西亚以及线上成功举办五届，往届论文集均已被Ei和Scopus检索。会议注重交流与前沿探讨，将紧紧围绕“机器学习与机器智能”主题，就其研究理论与应用及相关学科的最新进展进行深入交流与系统探讨，热忱欢迎广大同行学者投稿参会交流 。

 Conference Proceedings 

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings, which will be indexed by Ei Compendex, Scopus, etc.

投稿文章将经过严格的审稿过程，最终录用并完成注册和报告的文章将出版到会议论文集并被Ei Compendex和Scopus检索。

* MLMI 2018-2022 论文集均已被ACM Digital Library数据库收录，Ei-Compendex和Scopus检索

▶ MLMI 2018 | ISBN: 978-1-4503-6556-7 | ACM Digital Library | Ei-Compendex & Scopus Index
▶ MLMI 2019 | ISBN: 978-1-4503-7248-0 | ACM Digital Library | Ei-Compendex & Scopus Index
▶ MLMI 2020 | ISBN: 978-1-4503-8834-4 | ACM Digital Library | Ei Compendex & Scopus Index
▶ MLMI 2021 | ISBN: 978-1-4503-8424-7 | ACM Digital Library | Ei Compendex & Scopus Index
▶ MLMI 2022 | ISBN: 978-1-4503-9755-1 | ACM Digital Library | Ei Compendex & Scopus Index