Quiz on Artificial Intelligence Concepts

What is the definition of AI ?

• Systems that learn without being programmed to learn.

• Machines that think in a way similar to the human brain.

• Intelligent machines that think and behave like humans.

• A machine with cognitive abilities such as problem-solving and learning from examples.

What are the three algorithms of Machine Learning ?

• Supervised, Unsupervised, and Deep Learning.

• Supervised, Unsupervised, and Reinforcement Learning.

• Regression, Classification, and Clustering.

• Weak, General, and Strong AI.

In which type of machine learning are systems trained using labeled data, with both the input and desired output provided?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Deep learning

Which type of machine learning uses unlabeled data to train machines and identify hidden patterns?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Deep learning

What is a key characteristic of Reinforcement Learning?

• It is task-driven to predict the next value.

• It is data-driven to identify clusters.

• It learns from mistakes and uses feedback/rewards.

• It uses a large number of hidden layers.

According to the slides, what is the main purpose of backpropagation in training a neural network?

• To perform searches on a graph.

• To compare the output to the expected results and adjust the network's weightings.

• To apply an activation function to the weighted sum of inputs.

• To introduce non-linearity to solve complex tasks.

What is an Artificial Neural Network designed to simulate?

• A computer's central processing unit.

• The functioning of a biological brain.

• A simple flowchart or algorithm.

• A database for storing information.

In an artificial neural network, what is the layer where information gets processed?

• Input layer

• Hidden layer

• Output layer

• Connection layer

What is the purpose of the weightings assigned between nodes in an artificial neural network?

• To represent the size of the data being processed.

• To determine the speed of the network.

• To represent the strength or importance of a connection.

• To categorize the data into different clusters.

What is a 'purely theoretical and philosophical concept' where the AI is conscious, sentient, and self-aware?

• Narrow AI (Weak AI)

• General AI (Strong AI / AGI)

• Strong AI (Consciousness)

• Machine Learning