The Relationship Between Artificial Intelligence, Machine Learning, and Deep Learning

The article explores the relationship between artificial intelligence (AI), machine learning, and deep learning, highlighting the main approaches to implementing AI and their specific characteristics. Traditional rule-based methods and modern learning-based techniques, including the use of artificial neural networks, are analyzed. The main application areas of AI, such as natural language processing, computer vision, speech recognition, and robotics, are described. Special attention is given to the development of deep learning as a subset of machine learning, capable of identifying complex patterns in large datasets. The article concludes with a discussion of the future prospects, challenges, and issues of artificial intelligence, as well as the role of AI in the evolving interaction between humans and technology.