Page 9 - CT_AI_Class-7

AI DOMAINS AND

1 APPLICATIONS

PRIMARY PREVIEW

Understanding AI Domains Predictive Techniques in AI
Introduction to Classification Introduction to Regression
Introduction to Clustering Datasets
Data Science Computer Vision
Natural Language Processing (NLP)

Intelligence is the ability to learn new things, think clearly, understand information and find
solutions to problems. Artificial Intelligence (AI) refers to machines or systems designed to carry
out tasks that usually require human intelligence, like recognising patterns, making decisions or
solving problems. However, not all machines that seems smart use AI. Some simply follow fixed
instructions, which is called automation.

AI systems learn from different types of data such as numbers, words, images, videos or sounds.
This data helps machines identify patterns and make decisions. For example, a music app that
suggests songs is learning from your listening habits and recommending songs you might like, just
like humans make choices based on patterns they see in daily life.
AI is transforming many areas, such as healthcare and entertainment. In healthcare, AI helps
doctors diagnose diseases more accurately. In entertainment, it suggests videos based on what
you enjoy watching. It is important to use technology responsibly. Protecting your personal
information and following ethical guidelines when sharing things online helps keep you safe and
ensures that technology is used for good.

UNDERSTANDING AI DOMAINS

AI domains refer to different areas within Artificial Intelligence where machines perform tasks
that normally require human intelligence, such as learning, seeing, understanding language and
solving problems. AI is not just one technology but a collection of domains, each focusing on a
specific task. These domains help machines do things that usually need human thinking.

Domains of AI

Natural Language
Data Science Computer Vision
Processing (NLP)

AI Domains and Applications 7