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Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
Artificial intelligence (AI) refers to computer systems capable of performing complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.
AI, or Artificial Intelligence, in computer science refers to the development of machines or systems that can perform tasks that would typically require human intelligence. This includes tasks such as understanding natural language, recognizing patterns, learning from experience, and making decisions in various domains.
AI encompasses a broad range of techniques and approaches, including:
1. **Machine Learning**: Algorithms that allow computers to learn from and make predictions or decisions based on data.
2. **Deep Learning**: A subset of machine learning that uses neural networks with many layers (hence “deep”) to learn and represent data.
3. **Natural Language Processing (NLP)**: Techniques that enable computers to understand, interpret, and generate human language.
4. **Computer Vision**: The ability of computers to interpret and understand visual information from the world.
5. **Robotics**: The integration of AI techniques into physical machines or robots to perform tasks in the physical world.
6. **Expert Systems**: AI systems designed to mimic the decision-making ability of a human expert in a specific domain.
AI continues to advance rapidly, impacting numerous fields such as healthcare, finance, transportation, and entertainment, among others. The goal of AI research is to create machines and systems that can perform tasks autonomously and intelligently, potentially surpassing human capabilities in certain domains.