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We all are aware of the fact that every machine or organism is made of smaller parts that perform
a specific type of task. Similarly, the AI system is also built from different smaller mechanisms that
help the AI to 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 “Artificial Intelligence (AI) is 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 to achieve Artificial Intelligence. There are various
methods through which we can develop artificially intelligent systems. Let us learn about these
domains.
Natural Language
Big Data
Processing Computer Vision
Natural Language Processing (NLP)
This is a subfield of AI which helps in communication between human and computer in natural
language. It enables a computer to read and understand data by mimicking human natural language.
This subfield of AI is used for a variety of tasks such as email filters. A lot of people receive a lot
emails which 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 feature of word processors. NLP also
proves to be quite useful in voice text messaging and virtual assistants.
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