Artificial Intelligence (AI) Quiz

What is artificial intelligence (AI)?

• The simulation of intelligent human behavior by a computer

• The study of animal behavior

• The process of creating robots with human-like emotions

• The development of advanced computer hardware

Which category of AI occurs when a machine has superior performance to a human when doing one specific task?

• Narrow AI

• General AI

• Strong AI

• Basic AI

What is the main processing element of an expert system?

• Inference engine

• User interface

• Knowledge base

• Explanation system

What is the aim of machine learning?

• To build machines that are capable of thinking like humans

• To make machines that learn through data acquisition

• To develop advanced computer hardware

• To create robots with superior performance to humans

What is the main advantage of expert systems?

• Advanced graphics processing

• High accuracy

• Voice recognition capabilities

• High speed internet connection

What is the purpose of the hidden layers in deep learning?

• To provide a user interface for the neural network

• To store large amounts of data

• To control the inference engine

• To process data from the input layer into something that can be sent to the output layer

What type of tasks is deep learning very good at?

• Language translation tasks

• Audio processing tasks

• Simple linear tasks such as basic calculations

• Complex non-linear tasks such as visual processing

What is the main difference between machine learning and deep learning?

• The type of tasks they are good at

• The need for computing power

• The testing time of the system

• The amount of data required during the training stages

What is the main disadvantage of expert systems?

• They offer high accuracy

• The set up and maintenance costs are very high

• They provide unbiased reporting and analysis of the facts

• They have very fast response times

What is the main advantage of deep learning over machine learning?

• Less amount of data required during training

• Less need for computing power

• Faster testing time

• Ability to handle complex non-linear tasks