JASMINE: Journal of Intelligent Systems and Machine Learning is a peer-reviewed journal dedicated to advancing the fields of Artificial Intelligence (AI) and Machine Learning (ML). We publish high-quality, original research that contributes to the theoretical understanding and practical application of intelligent systems across various domains. JASMINE welcomes submissions covering a wide range of topics, including, but not limited to Machine Learning and Deep Learning, Computer Vision, Natural Language Processing, Biomedical Engineering, Bioinformatics, Recommender Systems, Optimization Algorithms, and Pattern Analysis. Our goal is to serve as a leading platform for researchers, academics, and industry professionals to disseminate their latest findings, exchange ideas, and foster collaborations in the rapidly evolving landscape of AI and Machine Learning. We encourage submissions that present novel methodologies, innovative applications, and insightful reviews.