Artificial Intelligence and Machine Learning (AI/ML) focus on creating systems that can learn from data, recognize patterns, and make intelligent decisions with minimal human intervention. AI represents the broader concept of machines simulating human intelligence, while ML is a subset that enables systems to improve performance through experience. These technologies are widely used in applications such as image recognition, natural language processing, recommendation systems, healthcare diagnostics, and financial forecasting. AI/ML enhances efficiency, accuracy, and automation across industries. However, challenges like data bias, ethical concerns, transparency, and high computational requirements must be carefully managed to ensure responsible and trustworthy deployment.