7th International Conference on Machine Learning & Trends (MLT 2026)

Memo

7th International Conference on Machine Learning & Trends (MLT 2026) June 20 ~ 21, 2026, Sydney, Australia https://sai2026.org/mlt/index Scope 7th International Conference on Machine Learning & Trends (MLT 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & its Trends. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest Applications Bayesian Network Computer Vision Data Mining Deep Learning Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Machine Learning Algorithms Neural Networks Predictive Learning Reinforcement Learning Supervised Machine Learning Trends Unsupervised Machine Learning   Paper Submission Authors are invited to submit papers through the conference Submission System by March 07, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 43) in Computer Science & Information Technology (CS & IT) series (Confirmed). Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Artificial Intelligence & Applications (IJAIA)   Important Dates Submission Deadline : March 07, 2026 Authors Notification : April 04, 2026 Registration & Camera-Ready Paper Due : April 11, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.