Artificial intelligence (AI) and machine learning (ML) differ primarily in their application scope and methodologies. AI is a broad field focused on creating systems that can perform tasks typically requiring human intelligence, such as understanding language or solving complex problems. Machine learning, a subset of AI, specifically concentrates on developing algorithms that enable computers to learn from data and improve over time. While AI aims for overall intelligent behavior, ML emphasizes adaptability and pattern recognition. Both technologies complement each other but serve different roles within the realm of intelligent systems.