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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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