What is the relationship among artificial intelligence AI, machine learning ML, and deep learning DL?

• A. ML is the broad field; AI is a subset of ML that learns from data; DL is a subset of AI.
• B. AI is the broad field; ML is a subset of AI that learns from data; DL is a subset of ML using multi-layer neural networks.
• C. DL is the broad field; AI is a subset of ML; ML is a subset of DL.
• D. AI and ML are the same; DL is unrelated.

Answer: (B)

Artificial intelligence is the broad field dedicated to building systems that can perform tasks that typically require human intelligence. Within AI, machine learning focuses on methods that learn from data to improve performance on a task, rather than relying on explicit, hand-coded rules. Deep learning is a more specific part of machine learning that uses deep neural networks with many layers to automatically learn representations from large amounts of data.

So the relationships are hierarchical: AI encompasses ML, and ML encompasses DL. This matches the idea that AI is the broad domain, ML is a subset within AI, and DL is a specialized subset within ML that relies on multi-layer neural networks. For example, an expert system based on predefined rules is AI but not ML, while a spam filter trained on data is ML, and a state-of-the-art image recognizer using deep neural networks is DL.

Other options misstate the relationships: placing ML as broader than AI, or making DL the broad field, or claiming AI and ML are identical and DL is unrelated.