Introduction to Artificial Intelligence Lecture 1

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

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

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

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

What is the primary function of machine learning in AI?

What is the relationship between AI and machine learning?

What is the primary characteristic that distinguishes intelligent machines from non-intelligent ones?

Who is credited with coining the term 'Artificial Intelligence' in 1955?

What is a key aspect of Artificial Intelligence that differentiates it from traditional programming?

What is a primary goal of Artificial Intelligence according to the text?

Which of the following is NOT a subfield of Artificial Intelligence?

What is the primary role of mathematics and statistics in Artificial Intelligence?

What is the primary difference between a fully pre-programmed factory robot and an intelligent machine?

What is a key application of Artificial Intelligence in decision-making?

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

Learn about the definition of intelligence and artificial intelligence, and how it differs from pre-programmed robots. Discover the concept of AI coined by John McCarthy in 1955.