Artificial Intelligence originated in the 1950s and contains fundamentals that are largely math.
For example, the common license plate recognition. The basics behind image segmentation and image classification used in it are all math.
Want to engage in artificial intelligence, the basic courses in college: linear algebra, probability and statistics, computer programming to learn, graduated from a graduate school to find a tutor to engage in the direction of artificial intelligence.
At present, the domestic first-class related institutions are: Microsoft Research Asia, the Chinese Academy of Sciences Institute of Automation, Baidu Research Institute, Huawei Noah's Ark Laboratory and so on. Foreign first-class related institutions are: Google, Facebook, IBM, NEC, Stanford University, the University of Toronto and so on.
Of course you can also self-study. You can find a direction from the image recognition, speech recognition, natural language processing. With a specific direction you can have a breakthrough.
Artificial intelligence itself contains a lot of content. The current hot research in the direction of deep learning, the bottleneck lies in the lack of basic theory system of artificial intelligence, various big countries are carrying out brain-like research in order to make a breakthrough in the basic theory of artificial intelligence.