Machine Matters is an esteemed and cutting-edge journal dedicated to the field of machine learning and artificial intelligence. As an open-access publication, it provides a platform for researchers, practitioners, and enthusiasts to share their latest findings, methodologies, and applications in this rapidly evolving domain. The journal's focus and scope encompass a wide range of topics, including machine learning algorithms, deep learning models, natural language processing, computer vision, robotics, and more. Machine Matters is committed to promoting innovation, collaboration, and knowledge dissemination in the field of machine learning. With a rigorous peer-review process and a distinguished editorial board, the journal ensures the publication of high-quality, impactful research. Authors and readers alike can benefit from the journal's open access policy, facilitating unrestricted access to valuable insights and fostering the advancement of machine learning and artificial intelligence.