What is the primary goal of Artificial General Intelligence (AGI)?

To develop AI that can perform any intellectual task that a human being can.

To surpass human intelligence in all cognitive tasks.

To create AI that specializes in a single domain.

To develop AI that can perform any intellectual task that a human being can.

To automate simple tasks currently done by humans.

Which of the following is a key challenge in developing explainable AI (XAI)?

Maintaining high accuracy while providing understandable explanations.

Reducing the computational cost of AI models.

Ensuring AI models are always correct.

What is the 'black box' problem in the context of neural networks?

The difficulty in understanding how a neural network arrives at a particular decision.

The problem of limited hardware resources for training neural networks.

The issue of neural networks being easily hacked.

The lack of publicly available data for training neural networks.

Which of these techniques is commonly used for dimensionality reduction in machine learning?

Principal Component Analysis (PCA)

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

What does the term 'overfitting' refer to in machine learning?

A model that performs well on training data but poorly on unseen data.

A model that performs poorly on both training and test data.

A model that performs well on training data but poorly on unseen data.

A model that takes too long to train.

A model that requires too much memory.

What is the primary goal of Artificial General Intelligence (AGI)?

To develop AI that can perform any intellectual task that a human being can.

Which of the following is a key challenge in developing explainable AI (XAI)?

Maintaining high accuracy while providing understandable explanations.

What is the 'black box' problem in the context of neural networks?

The difficulty in understanding how a neural network arrives at a particular decision.

Which of these techniques is commonly used for dimensionality reduction in machine learning?

Principal Component Analysis (PCA)

What does the term 'overfitting' refer to in machine learning?

A model that performs well on training data but poorly on unseen data.

AI in Computer Science: A Hard Quiz

What is the primary goal of Artificial General Intelligence (AGI)?

Which of the following is a key challenge in developing explainable AI (XAI)?

What is the 'black box' problem in the context of neural networks?

Which of these techniques is commonly used for dimensionality reduction in machine learning?

What does the term 'overfitting' refer to in machine learning?

Which of the following is NOT a common activation function used in neural networks?

What is the purpose of a cost function in machine learning?

What is the difference between supervised and unsupervised learning?

Which type of AI is designed to mimic human cognitive functions such as learning and problem-solving?

Which of these is a key element in enabling computers to understand, interpret, and generate human language?

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AI in Computer Science: A Hard Quiz

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