Page 79 - Modular_V2.0_SQL_Flipbook

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.

77
Uncover Artificial Intelligence & Robotics