The 2026 3rd International Conference on Machine Learning and Intelligent Computing(MLIC 2026) aims to gather professors, researchers, scholars, and industrial pioneers from all over the world. MLIC 2026 is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of Machine learning and intelligent computing. The conference welcomes contributions that promote the exchange of ideas and rational discourse between educators and researchers all over the world. The organizing committee of the conference is pleased to invite prospective authors to submit their original manuscripts to MLIC 2026. The topics of interest for submission include, But are not limited to: Artificial Intelligence & Machine Learning Machine Learning Fundamentals and Algorithms, Computer Vision and Image Understanding, Robotic Learning and Autonomous Systems, ... Intelligent Computing & Systems Cloud Computing and Edge Computing, Photonics Computing and Novel Computing Paradigms, IoT and Intelligent Sensing, ... Data Science & Applications Graph Data and Network Analysis, Data Governance and Quality Management, Intelligent Computing Application Cases, ... Submission & Publication All papers,both invited and contributed, the accepted papers, will be published for inclusion into Conference proceedings with meeting scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 6 pages. ***Please send the full paper(Latex+pdf) to Submission System:https://paper-sub.com/paper/QNZV2E (Tel: +86-19396491277 (WeChat) E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.) All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.