This session explores the latest advancements in machine learning algorithms, including deep learning, reinforcement learning, and supervised/unsupervised learning techniques. Discussions will cover applications across various domains such as healthcare, finance, and autonomous systems. Understanding and refining machine learning algorithms are crucial for improving predictive accuracy, optimizing decision-making processes, and developing innovative AI-driven solutions. By sharing research findings and best practices, this session aims to foster collaboration among AI researchers, industry practitioners, and academia to push the boundaries of machine learning capabilities.