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Artificial Intelligence (AI) is revolutionising the way we interact with technology and its applications
span across various domains, each contributing to the advancement of industries and everyday
life. From healthcare and finance to robotics and entertainment, AI has become an essential
tool in solving complex problems and enhancing human capabilities. This chapter delves into
the different domains of AI, exploring how they work, the technologies behind them and their

real-world applications. By understanding these domains, students will gain insight into the vast
potential of AI and how it is shaping the future of technology.

DOMAINS OF AI

The domains of AI refer to the primary areas or branches where AI is applied to mimic or augment

human intelligence. Each domain is dedicated to a specific kind of task that the human brain
performs, such as language recognition, reasoning, learning, pattern recognition or understanding
images.

Each domain has its own importance and it is essential to understand them, as they help us see
where and how AI is applied in real life. Every domain focuses on a specialised area, such as speech
recognition, pattern recognition, human communication or visual information processing. Each
of these domains is unique and is shaping the future of technology. Their applications span various
industries, driving innovation and improving efficiency. As AI continues to evolve, the potential for
these domains to further transform our daily lives is immense, paving the way for more innovative
solutions to complex challenges. Mainly, there are three domains of AI.

Domains of AI

Natural Language
Comptuer Vision Statistical Data
Processing (NLP)

COMPUTER VISION (CV)

Computer Vision, a domain of AI, helps machines
recognise objects, people and patterns. It replicates
human sight and the cognitive ability to interpret
visual data. Computer Vision teaches computers to
understand and interpret images and videos.

It assists machines in recognising objects, people,
movements or scenes by analysing visual data
obtained from cameras, sensors and software.

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