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Artificial Intelligence Techniques encompass a wide range of methods and processes used to create artificial intelligence systems. It is deeply rooted in the fields of computer science, mathematics, psychology, and engineering. These techniques involve various approaches such as rule-based systems, logic programming, machine learning, neural networks, natural language processing, robotics, computer vision, and expert systems among others. Each technique has its own strengths and weaknesses, and they are often combined in real-world applications to achieve the desired outcomes. In the context of Machine Learning Methods, Artificial Intelligence Techniques focus on creating intelligent agents that can learn from data, make decisions, and improve over time without explicit programming. This aligns with the broader categories of Technology, Artificial Intelligence, and Artificial Intelligence Algorithms, as it leverages technology to create intelligent systems using advanced algorithms and techniques.