Intro to AI Unit 2

Q: What is Artificial Intelligence (AI)?

A: A branch of computer science concerned with designing computers that make predictions and decisions.

Q: How is AI related to computer science?

A: AI is a subset of computer science focused on intelligent behavior in machines.

Q: What are examples of AI activities?

A: Any task where computers make choices or predictions (e.g., chatbots, recommendation systems, image recognition).

Q: What is Machine Learning (ML)?

A: A branch of Artificial Intelligence where programs learn from data instead of being explicitly programmed.

Q: How do traditional programming methods differ from machine learning?

A: Traditional programming requires writing exact instructions; machine learning trains programs with examples to learn patterns on their own.

Q: How does a machine learning program learn?

A: The programmer feeds it large amounts of example data, and the program finds patterns to make decisions.

Q: What are Neural Networks?

A: Collections of mathematical functions (neurons) trained to solve specific problems.

Q: How do neural networks relate to machine learning?

A: They are one of the main technologies used in many machine learning algorithms.

Q: What do neural networks do?

A: They find patterns in data, store calculations that capture those patterns, and use that information to complete tasks such as image recognition or text generation.

Q: What is a neuron in a neural network?

A: A calculation unit that takes input, performs a computation, and outputs a number to the next layer.

Q: What is the input layer?

A: The first layer that receives raw data (e.g., pixel values, text inputs).

Q: What is the output layer?

A: The final layer that produces the result (e.g., identifying an image, predicting the next word).

Q: What are hidden layers?

A: The intermediate layers between input and output where data is transformed through multiple computations.

Q: What is activation?

A: The process where a neuron produces a strong enough output to indicate that it has recognized the desired pattern.

Q: Define Neural Network again in one line.

A: A system of interconnected neurons trained to recognize patterns and solve problems.