Understanding Artificial Intelligence

What is artificial intelligence?

• Artificial intelligence is a type of computer hardware.

• Artificial intelligence is the ability of machines to perform physical tasks.

• Artificial intelligence is the simulation of human intelligence in machines.

• Artificial intelligence refers to the study of animal behavior.

In which decade did work on artificial intelligence begin?

• 1950s

• 1980s

• 1960s

• 1970s

What is the purpose of Dijkstra’s shortest path algorithm?

• To sort the nodes in a graph alphabetically.

• To find the longest path in a graph.

• To calculate the average weight of a graph.

• To find the shortest path in a weighted graph.

What does the A* algorithm help to achieve?

• Finding the longest path in a graph.

• Finding the shortest path in a graph.

• Sorting a list of numbers efficiently.

• Calculating the maximum flow in a network.

Define machine learning in the context of artificial intelligence.

• Machine learning is a philosophy that rejects the use of data in AI.

• Machine learning is a subset of artificial intelligence that enables systems to learn from data and improve their performance without explicit programming.

• Machine learning is a type of hardware used in AI systems.

• Machine learning refers to the manual programming of AI algorithms.

How do email spam filters utilize machine learning?

• Email spam filters are programmed to block all emails from unknown senders.

• Email spam filters utilize machine learning to classify emails as spam or not by analyzing patterns in labeled datasets and adapting to new data.

• Email spam filters rely solely on user feedback without any data analysis.

• Email spam filters use machine learning to send promotional emails.

What is the role of historical training data in machine learning?

• Historical training data is essential for training machine learning models to learn patterns and make predictions.

• Historical training data is irrelevant for pattern recognition.

• Historical training data is only used for data storage.

• Historical training data has no impact on model accuracy.

What is deep learning a subset of?

• Neural Networks

• Artificial Intelligence

• Data Mining

• Machine Learning

How do neural networks function in deep learning?

• Neural networks only operate on binary data without layers.

• Neural networks function by randomly guessing outputs without training.

• Neural networks process data through layers of interconnected nodes, adjusting weights during training to learn patterns.

• Neural networks require manual feature extraction for every input.

Give an example of a problem that deep learning can solve.

• Calculating the area of a circle

• Sorting numbers in a list

• Image classification, such as identifying animals in photos.

• Translating text between languages