Artificial intelligence (AI) and machine learning (ML) intersect closely, as ML is a subset of AI focused on enabling systems to learn from data. AI encompasses a broad range of technologies designed to replicate human-like cognitive functions, while ML specifically emphasizes the development of algorithms that improve through experience. These ML algorithms analyze large datasets to identify patterns and make predictions, enhancing the capabilities of AI applications. Together, they drive advancements in fields such as natural language processing, computer vision, and automated reasoning, creating smarter systems that can adapt and respond intelligently to new challenges.