Compare Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are interconnected fields within computer science that aim to replicate and simulate aspects of human intelligence. Though they are often used interchangeably in casual conversations, they have distinct meanings, scopes, and methodologies. Understanding their differences and relationships is critical in grasping how modern intelligent systems operate, particularly in fields like robotics, automation, natural language processing, computer vision, and data analytics.

Artificial Intelligence (AI) is the broadest of the three concepts. It encompasses the overall goal of creating machines or software that can simulate intelligent behavior. AI can be categorized into two types: narrow AI and general AI. Narrow AI refers to systems that are designed to perform a specific task, such as facial recognition or language translation, whereas general AI refers to a machine's ability to understand, learn, and apply intelligence across a wide range of tasks, much like a human being. The field of AI is multidisciplinary, drawing from computer science, cognitive science, mathematics, linguistics, neuroscience, and philosophy. Key components of AI include problem-solving, knowledge representation, reasoning, planning, learning, natural language ____ ______ _____ ________ ______ ___ ___ ________ _____.
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