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Uncover Artificial
Intelligence & Robotics
AI DOMAINS
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 Processing (NLP)
This is a subfield of AI that helps in communication between
humans and computers 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 of emails that are useless.
NLP checks the sender of the email and categorises the mail as spam or junk. NLP also finds its
use in the autocomplete and spell check features of word processors. NLP is also quite useful in
voice text messaging and virtual assistants.
Data Science
Data science in AI refers to the process of collecting, analysing, and interpreting large sets of
data to enable AI systems to learn, make predictions, and improve their performance. It involves
using various techniques, such as statistics, mathematics, and computer science, to extract
meaningful insights from data.
In AI, data science is essential because AI systems need data to learn.
For example, if you want an AI to recognise images of cats, you need to
provide it with a lot of pictures of cats. The AI uses data science techniques
to analyse these images, learn the patterns that define a cat, and then use
that knowledge to identify cats in new images.
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