Artificial intelligence (AI) and machine learning are related fields that involve the development and use of computer systems that can learn and adapt to new data.

AI refers to the development of computer systems that can perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. There are many different types of AI, including narrow or weak AI, which is designed to perform specific tasks, and general or strong AI, which has the ability to perform any intellectual task that a human can.

Machine learning, on the other hand, is a subset of AI that involves the use of algorithms and statistical models to enable a system to learn and improve from experience without being explicitly programmed. Machine learning algorithms can be trained on a dataset and then used to make predictions or decisions based on new data.

There are many applications for AI and machine learning in a wide range of industries, including healthcare, finance, marketing, and cybersecurity. Some common examples include recommendation systems, fraud detection, and image and speech recognition. 

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