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We are all aware of the fact that every machine or organism is made of smaller parts that perform
specific types of tasks. Similarly, the AI system is also built from different smaller mechanisms that
help the AI work properly. These working mechanisms are the different components with which the
AI system can work. They are commonly called domains of AI. In this chapter, we are going to learn
about the different domains of AI.
Barr and Feigenbaum in 1981 defined AI as "the part of computer science concerned with designing
intelligent computer systems, that is, systems that exhibit characteristics we associate with
intelligence in human behaviour—understanding language, learning, reasoning, solving problems,
and so on.”
Domains of AI
There are different approaches or domains in the field of artificial intelligence. There are various
methods through which we can develop artificially intelligent systems. Let us learn about these
domains.
Natural Language
Data Science
Processing Computer Vision
Natural Language Processing (NLP)
This is a subfield of AI that helps in communication between human and computer in natural
language. It enables a computer to read and understand data by processing and understanding
human language.
This subfield of AI is used for a variety of tasks such as email filters. A lot of people receive a lot
emails that are useless. NLP checks the sender of the email and categorises the mails as spam or
junk. NLP also finds its use in the auto complete and spell check features of word processors. NLP is
also quite useful in voice text messaging and virtual assistants.
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