AI or Artificial Intelligence is broadly used to describe the simulation of the processes of human intelligence by computer systems. The processes simulate human learning in that the systems start with the acquisition of information, creating rules for using the information, reasoning by using the rules to reach conclusions, and self-correction by evaluating outcomes and compensating for incorrect predictions or errors. Artificial intelligence is generally categorized into one of three types: 1) Weak AI or Narrow AI, in which the systems and algorithms are trained to perform narrowly focused tasks, 2. Strong AI or General Intelligence, the theoretical goal of having a system apply intelligence to solve any problem much like a human would, and 3) Superintelligence, in which a system could far outperform human intelligence through rapid, recursive self-improvement. Although general intelligence and superintelligence are frequently discussed in media and entertainment, neither has been achieved and neither seems to be achievable in the near future. Artificial intelligence is often used interchangeably (but incorrectly) with machine learning and deep learning. AI is the science and approach to developing technology that mimics human intelligence. Machine learning, a subset of AI, involves the application of statistical techniques and modelling to create algorithms that improve with experience. Deep learning, a subset of machine learning, involves the creation of algorithms using multilayered neural networks trained on vast amounts of data.