Introduction to Artificial Intelligence Class 9 Notes
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Questions and Answers

Define Artificial Intelligence.

Artificial Intelligence (AI) is the ability of machines to do cognitive tasks such as thinking, perceiving, learning, problem solving, and decision making.

Explain the meaning of 'Artificial' in Artificial Intelligence.

Artificial refers to something created or produced by humans rather than existing naturally.

What is the significance of 'Intelligence' in the term Artificial Intelligence?

Intelligence refers to the ability to acquire and use knowledge and skills.

According to NITI Aayog, how is Artificial Intelligence defined?

<p>The ability of machines to execute cognitive functions such as thinking, perceiving, learning, problem solving, and decision making.</p> Signup and view all the answers

How has the World Economic Forum described Artificial Intelligence?

<p>The software engine that propels the Fourth Industrial Revolution.</p> Signup and view all the answers

What branch of artificial intelligence allows computers to learn and develop without being explicitly programmed?

<p>Machine Learning</p> Signup and view all the answers

Who coined the phrase 'artificial intelligence' and hosted the first AI conference in 1956 at Dartmouth College?

<p>John McCarthy</p> Signup and view all the answers

What area of artificial intelligence focuses on assisting computers in understanding human language and communication?

<p>Natural Language Processing (NLP)</p> Signup and view all the answers

What type of computer software can handle complex issues and make decisions like a human expert?

<p>Expert System</p> Signup and view all the answers

In the context of artificial intelligence, what does computer vision enable computers and systems to do?

<p>Extract useful information from digital photos and videos</p> Signup and view all the answers

What is problem scoping in the AI Project Cycle?

<p>Identifying the different aspects that affect the problem and defining the project's goal.</p> Signup and view all the answers

Explain the 4 W's of Problem Scoping in AI projects.

<p>The 4 W's are Who, What, Where, and Why, which help identify and understand the problem better.</p> Signup and view all the answers

What is the significance of the Problem Canvas in the AI Project Cycle?

<p>The Problem Canvas assists in identifying and framing the problem statement clearly.</p> Signup and view all the answers

How does the AI Project Cycle help in deriving value from AI projects?

<p>By following a step-by-step process to solve problems and derive value from the AI project.</p> Signup and view all the answers

Why is it essential to acquire data from various sources in the AI Project Cycle?

<p>To ensure a comprehensive understanding of the problem and its context.</p> Signup and view all the answers

What is the purpose of the 'What' section in problem analysis?

<p>To help in analyzing and recognizing the nature of the problem.</p> Signup and view all the answers

Define 'Data Acquisition' in the context of AI project cycle.

<p>Data acquisition is the method of collecting correct and dependable data to work with.</p> Signup and view all the answers

What is the difference between structured and unstructured data?

<p>Structured data follows a standardized format and has a well-defined structure, while unstructured data does not follow traditional data models.</p> Signup and view all the answers

Explain what a 'Dataset' is and provide an example.

<p>A dataset is a collection of data in tabular format related to a specific subject. For example, students' test scores in a class.</p> Signup and view all the answers

What is the purpose of 'Acquiring Data from Reliable Sources' in an AI project cycle?

<p>To ensure that the data collected is accurate and dependable for use in the project.</p> Signup and view all the answers

Flashcards

What is Artificial Intelligence (AI)?

The ability of machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making.

What does 'Artificial' mean in AI?

The creation of human-like intelligence that is not natural, but rather machine-made.

What does 'Intelligence' mean in AI?

The ability of machines to perform tasks that require reasoning, problem-solving, and learning.

What is Machine Learning?

A branch of AI that allows computers to learn and develop without being explicitly programmed.

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What is Natural Language Processing (NLP)?

An area of AI that focuses on assisting computers in understanding human language and communication.

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Who is John McCarthy?

The person who coined the phrase 'Artificial Intelligence' and hosted the first AI conference at Dartmouth College in 1956.

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What are Expert Systems?

Computer software capable of handling complex issues and making decisions like a human expert.

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What is Computer Vision?

A field of AI that enables computers and systems to interpret and understand visual information from the world.

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What is Problem Scoping?

The first stage of the AI Project Cycle, focusing on defining the problem and identifying the project's objectives.

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What are the 4 W's of Problem Scoping?

These are the 4 essential questions asked during the Problem Scoping stage of an AI project: What, Why, Where, and When.

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What is the Problem Canvas?

A tool used in the AI Project Cycle to visualize and structure the problem definition.

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What is the purpose of the AI Project Cycle?

A structured approach to problem-solving in AI projects that helps derive value and achieve desired outcomes.

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What is Data Acquisition?

The process of collecting and gathering data from various sources during the AI Project Cycle.

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What is Structured Data?

Highly organized and easily searchable data, like information in a spreadsheet.

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What is Unstructured Data?

Data that lacks a predefined format and is challenging to search, like audio recordings or text documents.

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What is a Dataset?

A collection of data used to train and test machine learning models, for example, a dataset of images used to train a computer vision model.

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Why is acquiring data from reliable sources important?

Acquiring data from reliable sources is crucial in an AI project cycle to ensure that the model is trained on accurate and trustworthy data.

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What is the purpose of the 'What' section in problem analysis?

The 'What' section in problem analysis involves identifying the problem statement and defining the objectives of the project.

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Study Notes

Defining Artificial Intelligence

  • Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making.
  • The term "Artificial" in Artificial Intelligence refers to the creation of human-like intelligence that is not natural, but rather machine-made.
  • The significance of "Intelligence" in the term Artificial Intelligence lies in the ability of machines to perform tasks that require reasoning, problem-solving, and learning.

Definitions of Artificial Intelligence

  • According to NITI Aayog, Artificial Intelligence is defined as the ability of machines to perform tasks that typically require human intelligence.
  • The World Economic Forum has described Artificial Intelligence as the ability of machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making.

Branches of Artificial Intelligence

  • Machine Learning is a branch of Artificial Intelligence that allows computers to learn and develop without being explicitly programmed.
  • Natural Language Processing (NLP) is an area of Artificial Intelligence that focuses on assisting computers in understanding human language and communication.

History of Artificial Intelligence

  • The phrase "Artificial Intelligence" was coined by John McCarthy, who hosted the first AI conference in 1956 at Dartmouth College.

Applications of Artificial Intelligence

  • Expert Systems are a type of computer software that can handle complex issues and make decisions like a human expert.
  • Computer Vision is a field of Artificial Intelligence that enables computers and systems to interpret and understand visual information from the world.

AI Project Cycle

  • Problem Scoping is a stage in the AI Project Cycle that involves defining the problem and identifying the objectives of the project.
  • The 4 W's of Problem Scoping in AI projects are: What, Why, Where, and When.
  • The Problem Canvas is a tool used in the AI Project Cycle to visualize and structure the problem definition.
  • The AI Project Cycle helps in deriving value from AI projects by providing a structured approach to problem-solving.
  • Acquiring data from various sources is essential in the AI Project Cycle to ensure that the model is trained on diverse and representative data.
  • The 'What' section in problem analysis involves identifying the problem statement and defining the objectives of the project.
  • Data Acquisition is a stage in the AI Project Cycle that involves collecting and gathering data from various sources.
  • Structured data is highly organized and easily searchable, whereas unstructured data lacks a predefined format.
  • A Dataset is a collection of data used to train and test machine learning models, for example, a dataset of images used to train a computer vision model.
  • Acquiring data from reliable sources is crucial in an AI project cycle to ensure that the model is trained on accurate and trustworthy data.

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Get comprehensive notes on Introduction to Artificial Intelligence for Class 9, based on the CBSE Skill Education curriculum. Learn about the basics of Artificial Intelligence as per the NCERT Textbook code 417.

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