Introduction to Artificial Intelligence Lecture 1

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Questions and Answers

What disciplines play an essential role in understanding how AI might work?

  • Psychology, linguistics, and philosophy (correct)
  • Computer science, mathematics, and engineering
  • Physics, mathematics, and biology
  • Psychology, philosophy, and computer science

What is the broader category that machine learning is a subset of?

  • Machine learning
  • Artificial intelligence (correct)
  • Deep learning
  • Computer vision

What enables AI systems to identify patterns, make decisions, and improve themselves through experience and data?

  • Deep learning algorithms
  • Neural networks and computer vision
  • Machine learning technologies (correct)
  • Natural language processing

What do computer programmers and software developers create by applying tools such as machine learning and neural networks?

<p>Artificial intelligence systems (B)</p>
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What is the primary function of machine learning in AI?

<p>To identify patterns and make decisions (C)</p>
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What is the relationship between AI and machine learning?

<p>Machine learning is a subset of AI (A)</p>
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What is the primary characteristic that distinguishes intelligent machines from non-intelligent ones?

<p>Ability to learn and adapt to new situations (A)</p>
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Who is credited with coining the term 'Artificial Intelligence' in 1955?

<p>John McCarthy (C)</p>
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What is a key aspect of Artificial Intelligence that differentiates it from traditional programming?

<p>Ability to learn from examples and improve over time (C)</p>
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What is a primary goal of Artificial Intelligence according to the text?

<p>To create machines that can augment human intelligence (A)</p>
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Which of the following is NOT a subfield of Artificial Intelligence?

<p>Computer architecture (A)</p>
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What is the primary role of mathematics and statistics in Artificial Intelligence?

<p>To determine viable models and measure performance (D)</p>
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What is the primary difference between a fully pre-programmed factory robot and an intelligent machine?

<p>Ability to learn and adapt (C)</p>
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What is a key application of Artificial Intelligence in decision-making?

<p>Providing information and evidence to support informed decisions (A)</p>
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Study Notes

Defining Artificial Intelligence

  • Intelligence is the ability to learn and perform suitable techniques to solve problems and achieve goals in an uncertain, ever-varying world.
  • Artificial Intelligence (AI) is the science and engineering of making intelligent machines, defined by John McCarthy in 1955.
  • AI involves machines that can learn, at least somewhat like human beings do.

Characteristics of Artificial Intelligence

  • AI is the capacity of machines to mimic human cognitive functions such as learning, problem-solving, and pattern recognition.
  • AI includes various subfields, such as machine learning and natural language processing.
  • AI is the application of computing to help machines solve problems in intelligent ways without humans having to hard code the desired outcomes manually.
  • AI is about augmenting human intelligence by providing information and evidence that subject matter experts need to make informed decisions.
  • Computer science and electrical engineering determine how AI is implemented in software and hardware.
  • Mathematics and statistics determine viable models and measure performance.
  • Psychology and linguistics play an essential role in understanding how AI might work.
  • Philosophy provides guidance on intelligence and ethical considerations.

AI vs. Machine Learning

  • AI and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI.
  • AI refers to the general ability of computers to emulate human thought and perform tasks in real-world environments.
  • Machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience and data.

Tools for Creating Artificial Intelligence Systems

  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Computer Vision
  • Natural Language Processing

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