Hi,

Well AI is combination of both statistics as well as electronics. AI is a broad technology with many possible applications. It’s typically divided into special sub-branches.  Here’s a brief summary of each:

• General problem solving: Problems with no known algorithmic solution. Problems with ambiguity and uncertainty.

• Expert systems: Software that incorporates a knowledge base of rules, facts, and data derived from multiple individual experts. The knowledge base can be queried to solve problems, diagnose medical conditions, or provide advice.

• Natural language processing (NLP): NLP is used to derive understanding from natural text. Voice recognition is a part of NLP. Language translation is an application.

• Computer vision: Analyzing and understanding visual information (photos, video, etc.). Machine vision and facial recognition are examples. Used in self-driving cars and factory inspection.

• Robotics: Making robots more intelligent, self-operating, adaptive, and more useful.

• Games: AI is great at playing games. Computers already have been programmed to play and win at chess, poker, and Go.

• Machine learning: Procedures to allow a computer to learn from data or other inputs and make sense of the results for application.  Neural networks make up the framework for machine learning.

Hope this helps.