2026 7th International Conference on Pattern Recognition and Machine Learning (PRML 2026) will take place in Urumqi, China during July 10-13, 2026. PRML 2026 is co-sponsored by Xinjiang University and Sichuan University, supported by Chongqing University of Posts and Telecommunications, University of Electronic Science and Technology of China, Xi'an Jiaotong University, and Xizang University, Wenzhou Medical University, University of Malaya, etc. Conference Website: http://www.prml.org/ Paper Publication: 1. PRML 2026 Conference Proceedings, indexed by Ei Compendex and Scopus. 2. Journal of Advances in Information Technology (ISSN: 1798-2340; Impact Factor 2022: 1.0, CiteScore: 3.1): indexed by ESCI (Web of Science), Scopus, EBSCO, Google Scholar, CNKI, Crossref, etc. Previous Editions PRML 2021-ISBN: 978-1-6654-4382-1, IEEE Xplore, Ei Compendex and Scopus indexed. PRML 2022-ISBN: 978-1-6654-9950-7, IEEE Xplore, Ei Compendex and Scopus indexed; Selected papers published in the Special Issue of Entropy (ISSN 1099-4300): indexed by Scopus, SCIE. PRML 2023-ISBN: 979-8-3503-2430-3, IEEE Xplore, Ei Compendex and Scopus indexed. PRML 2024-ISBN: 979-8-3503-5591-8, IEEE Xplore, Ei Compendex and Scopus indexed; selected papers published in JAIT (ISSN: 1798-2340), ESCI (Web of Science) and Scopus indexed (in press). PRML 2025-ISBN: 979-8-3503-9257-9, in press Awards 1. Best presentation award 2. Best paper award：1000CNY bonus 3. Best student paper award：1000CNY bonus Conference Participate Methods: 1. Authors: Submit a full paper (for publication and presentation) or an abstract (for presentation only) at http://confsys.iconf.org/submission/prml2026. 2. Listeners: Register at http://confsys.iconf.org/register/prml2026 3. Invited Speakers: welcome to apply by sending your English CV to icprml@163.com. Topics: ※Track 1: Computer Vision and Recognition: Image and Video Classification; Object Detection and Tracking; Semantic Segmentation; Content-based Image Retrieval; Facial Recognition; 3D Reconstructions; Action Recognition ※Track 2: Deep Learning and Optimization: Neural Generative Models, Autoencoders, GANs; Optimization and Learning Methods; Representation Learning and Deep Learning; Scene Analysis and Understanding; Transfer Learning, Low-Shot, Semi- and Unsupervised Learning; Motion and Tracking ※Track 3: Artificial Intelligence (AI) in Biomedical Applications: AI in Biomedical Signal and Image Processing; Bioinformatics for Healthcare Engineering; Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision; Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI; Applying Machine Learning-empowered Sensing to Biomedical Scenarios; Distributed Computing for Big Data in Smart Healthcare using AI; AI-enabled Remote Patient Monitoring using Big Data ※Track 4: Vision Applications and Systems: Segmentation, Grouping, and Shape; Vision + Language, Vision + Other Modalities; Video Analysis and Understanding; Vision Applications and Systems; Vision for Robotics and Autonomous Vehicles; Visual Reasoning and Logical Representation ※Track 5: Artificial Intelligence (AI) for Data Analytics: Data Clustering, Classification, and Visualisation; Explainable AI and Knowledge Discovery from Databases; Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support; Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics; Predictive Maintenance, Condition Monitoring, Manufacturing Analytics; Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc. Academic visit of PRML 2026 (The specific itinerary will be planned according to the final conference schedule)： 1. Renowned universities and institutions 2. Famous landmarks in Urumqi Conference Venue Xinjiang University Address: No. 666 Shengli Road, Tianshan Distric, Urumqi 830046, Xinjiang, China Submission and Contact Methods Submission Methods: http://confsys.iconf.org/submission/prml2026 E-mail: icprml@163.com Wechat: CBEES-BBS Conference Secretary: Ms. Ruby He 2026 7th International Conference on Pattern Recognition and Machine Learning (PRML 2026) can provide a platform for academic communication in Pattern Recognition and Machine Learning and related areas. For more conference information, please visit the conference website: http://www.prml.org/