Page 107 - Artificial Intellegence_v2.0_Class_11
P. 107
UNIT-1
INTRODUCTION TO AI
Learning Outcomes
• Introducing Artificial Intelligence • Why Artificial Intelligence?
• History of Artificial Intelligence • Types of Artificial Intelligence
• Domains of AI • What is Data?
• Machine Learning • Conventional Programming Vs Machine Learning
• Types of Machine Learning • Deep Learning
• Neural Networks • How Does a Neural Network Work?
• What Machine Learning Can and Cannot Do? • Jobs in AI
Have you ever asked Alexa/Siri to play a song or about the weather on a particular day or the fastest route with
less traffic when you are getting late? Have you ever wondered how Google gives auto-suggestions when you type
something in the search bar? Welcome to the world of Artificial Intelligence (AI). You do realize that you are already
using AI in your everyday lives! AI is all around us. When we tell Alexa to play a song or Siri to set a reminder, we are
working with AI. So, do we say that our machines are intelligent? Intelligence is the term that includes the following
mental abilities:
• Analysis • Planning
• Solving problems • Building conclusions
• Abstract thinking • Learning languages
• Speed of learning • Ability to feel and express feelings
• Understanding the feelings of others
Introducing Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science that simulate human intelligence into machines, especially
in computer systems, so that they can think and perform actions similar to humans.
Artificial Intelligence is made up of the words Artificial and Intelligence, where Artificial defines "human-made,” and
Intelligence defines “thinking ability”, hence AI means “a human-made thinking ability”.
The term ‘Artificial Intelligence’ was coined by John McCarthy. In 1956, John organized the Dartmouth Conference
where, in his talk, he first used the term “artificial intelligence”, defined as the science and engineering of making
intelligent machines. John Mccarthy is also known as the ‘Father of AI’.
Introduction to AI 105

