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Exploring Artificial Intelligence Concepts

Authored by Ajay (RCSS)

Computers

University

5 Questions

Used 1+ times

Exploring Artificial Intelligence Concepts
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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a neural network and how does it function?

A neural network is a computational model that simulates the way human brains process information, consisting of interconnected layers of nodes that learn from data.

A neural network is a simple algorithm that does not require data to learn.

A neural network is a type of hardware used for data storage.

A neural network is a biological structure found only in animals.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the role of tokenization in natural language processing.

Tokenization is a method for encrypting sensitive information.

Tokenization helps in translating text into different languages.

Tokenization is used to summarize text into a single word.

Tokenization is essential in NLP as it converts text into manageable units for analysis.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some ethical concerns associated with AI bias?

AI bias is solely a technical issue without ethical implications.

AI bias has no impact on decision-making.

AI bias raises ethical concerns related to discrimination, inequality, trust, and the impact on critical decision-making.

AI bias promotes fairness and equality.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe a common technique used in computer vision for image classification.

Convolutional Neural Networks (CNNs)

K-Nearest Neighbors (KNN)

Support Vector Machines (SVMs)

Decision Trees

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do convolutional neural networks differ from traditional neural networks?

Convolutional Neural Networks use convolutional layers and pooling, while traditional Neural Networks use fully connected layers.

Convolutional Neural Networks only work with images, while traditional Neural Networks can handle any data type.

Traditional Neural Networks use convolutional layers, while Convolutional Neural Networks use recurrent layers.

Convolutional Neural Networks are slower than traditional Neural Networks in all cases.

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