Understanding Artificial Intelligence

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What technology enables computers and machines to simulate human intelligence and problem-solving capabilities?

Neural networks

Deep learning

Machine learning

Artificial intelligence (correct)

Which example is NOT mentioned as an application of AI in the text?

Autonomous vehicles

Cryptocurrency mining (correct)

Digital assistants

GPS guidance

What technologies are often mentioned together with artificial intelligence?

Machine learning (correct)

Quantum computing

Blockchain

Virtual reality

What was the previous breakthrough in AI before the release of ChatGPT that is highlighted in the text?

Computer vision Signup and view all the answers

Which discipline involves developing AI algorithms modeled after the decision-making processes of the human brain?

Deep learning Signup and view all the answers

What can generative AI learn and synthesize according to the text?

Images, video, software code, and molecular structures Signup and view all the answers

What is the other term used to refer to Weak AI?

Artificial narrow intelligence (ANI) Signup and view all the answers

Which type of AI is described as having a consciousness equal to humans and the ability to plan for the future?

Artificial general intelligence (AGI) Signup and view all the answers

Which type of AI surpasses the intelligence and ability of the human brain?

Artificial super intelligence (ASI) Signup and view all the answers

What are the theoretical forms of Strong AI mentioned in the text?

Artificial super intelligence (ASI) and artificial general intelligence (AGI) Signup and view all the answers

Which AI type is focused on performing specific tasks and drives most of the AI applications today?

Narrow AI or artificial narrow intelligence (ANI) Signup and view all the answers

What are some examples of Weak AI applications mentioned in the text?

Amazon's Alexa and IBM watsonx™ Signup and view all the answers

What is the key difference between machine learning and deep learning algorithms?

Machine learning algorithms require structured or labeled data, while deep learning algorithms can perform unsupervised learning on large, unstructured datasets. Signup and view all the answers

Why are deep learning algorithms able to automate the extraction of features from large, unlabeled datasets?

Deep learning algorithms use a large number of hidden layers, which enables them to automatically extract complex features from the data without human intervention. Signup and view all the answers

Which of the following statements about the relationship between machine learning, deep learning, and AI is most accurate?

Machine learning is a subfield of AI, and deep learning is a subfield of machine learning. Signup and view all the answers

What is the key role that neural networks play in both machine learning and deep learning algorithms?

Neural networks are used to model the decision-making processes of the human brain, which is the basis for both machine learning and deep learning. Signup and view all the answers

How do the neural network architectures used in machine learning and deep learning algorithms differ?

Deep learning algorithms use neural networks with an input layer, hundreds of hidden layers, and an output layer, while machine learning algorithms use neural networks with an input layer, one or two hidden layers, and an output layer. Signup and view all the answers

What is the primary benefit of deep learning's ability to perform unsupervised learning on large, unstructured datasets?

It enables deep learning algorithms to automate the feature extraction process, reducing the need for human intervention. Signup and view all the answers

What was the primary focus of Minsky and Papert's book 'Perceptrons'?

Arguing against the potential of neural network research Signup and view all the answers

What was the primary contribution of Russell and Norvig's 'Artificial Intelligence: A Modern Approach'?

Defining the four potential goals or definitions of artificial intelligence Signup and view all the answers

What was the significance of DeepMind's AlphaGo program defeating the world champion Go player Lee Sedol?

It marked a significant milestone given the huge number of possible moves in the game of Go Signup and view all the answers

Which AI milestone is described as 'a chess match (and rematch)' in the text?

IBM's Deep Blue defeating then world chess champion Garry Kasparov Signup and view all the answers

What was the key capability demonstrated by Baidu's Minwa supercomputer in 2015?

Identifying and categorizing images with a higher rate of accuracy than the average human Signup and view all the answers

Which AI milestone is described as a 'landmark work on neural networks' in the text?

Minsky and Papert's book 'Perceptrons' Signup and view all the answers

What was the primary purpose of Alan Turing's paper 'Computing Machinery and Intelligence'?

To introduce the concept of artificial intelligence and propose the Turing Test Signup and view all the answers

Who coined the term 'artificial intelligence' and at what event?

John McCarthy, at the Dartmouth College conference in 1956 Signup and view all the answers

What was the significance of the Logic Theorist program created by Newell, Shaw, and Simon in 1956?

It was the first-ever running AI software program Signup and view all the answers

What was the significance of Frank Rosenblatt's Mark 1 Perceptron in 1967?

It was the first computer based on a neural network that 'learned' through trial and error Signup and view all the answers

Which of the following statements about the Turing Test is true?

It involves a human interrogator trying to distinguish between a computer and human text responses Signup and view all the answers

What programming language was invented by John McCarthy, who coined the term 'artificial intelligence'?

Lisp Signup and view all the answers