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AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. The goal of AI is to develop systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, language translation, and problem-solving.

There are two main types of AI:

1. Narrow AI (Weak AI): This type of AI is designed and trained for a particular task. It excels in performing specific tasks but lacks the broad learning and adaptability associated with human intelligence. Examples include virtual personal assistants like Siri or Alexa, as well as image or speech recognition systems.

2. General AI (Strong AI): General AI refers to a system with the ability to apply intelligence to any problem, rather than being specialized in a specific task. This level of AI, which would possess human-like cognitive abilities across a wide range of domains, is still largely theoretical and does not yet exist.

AI systems can be categorized into three levels of sophistication:

• Reactive Machines: These AI systems operate based on predefined rules and are limited to a specific set of tasks. They don't have the ability to learn from experience.

• Limited Memory: These AI systems can learn from historical data to some extent. They can make decisions based on past experiences and adapt their behavior.

• Theory of Mind (Future Aspiration): This is an advanced level of AI that would have an understanding of human emotions, beliefs, intentions, and other aspects of the human mind. Achieving this level of AI is currently a topic of speculation and is not yet realized.