How is AI Different From ML?

AI is not a new word. It dates back many decades, and computer scientists in the early 80s developed algorithms that learn and simulate human behavior. On the learning side, the most important algorithm is the neural network, which has not been very successful due to over-fitting (the model is very powerful and there is not enough data). However, in some specific tasks, the idea of using data to fit a function has been a considerable success and is the foundation of machine learning today. On the other hand, AI is very focused on image recognition, speech recognition, and natural language processing.