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    Uncover Artificial

                                                 Intelligence & Robotics

                     The way you work, learn, and live is being changed by artificial intelligence, or AI. It enables machines
                     to carry out operations that typically call for human intelligence, such as speaking, thinking, problem-
                     solving, and picture  recognition.  However,  AI does not perform all of these tasks in the same

                     manner. It operates across various domains, or branches. Every area of AI has different purposes
                     and aids machines in completing particular tasks. For example, some domains work with data and
                     information, while others help AI in comprehending human language and identifying images. Each
                     of these domains serves a different purpose, similar to the tools in a toolbox.

                         DOMAINS OF AI

                     There are different approaches or domains in the field of artificial intelligence. There are various
                     methods through which you 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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