Foundations of AI
Machine Learning
Neural Networks
Natural Language Processing
AI Applications
100

This is the branch of computer science focused on building smart machines.

What is Artificial Intelligence?

100

This type of learning uses labeled data.

What is supervised learning?

100

This is the layer where input data enters a neural network.

What is the input layer?

100

This process converts speech to text.

What is speech recognition?

100

This AI branch powers Siri and Alexa.

What is speech recognition or voice assistant AI?

200

The father of AI, he coined the term in 1956.

Who is John McCarthy?

200

The learning algorithm where agents learn from rewards.

What is reinforcement learning?

200

This type of neural network is used for image processing.

What is a Convolutional Neural Network (CNN)?

200

BERT is based on this type of neural architecture.

What is Transformer?

200

AI used in cars to detect objects and make decisions.

What is autonomous driving?

300

This test checks a machine's ability to exhibit intelligent behavior.

What is the Turing Test?

300

The S-shaped activation function often used in logistic regression.

What is the sigmoid function?

300

The backpropagation algorithm adjusts these values.

What are weights?

300

Removing "the", "is", "a" from text is called this.

What is stop word removal?

300

This field uses AI for predicting diseases and diagnosing patients.

What is healthcare?

400

The AI problem-solving method that involves trying all possible solutions.

What is brute force search?

400

A supervised algorithm that separates data using a hyperplane.

What is Support Vector Machine (SVM)?

400

ReLU stands for this.

What is Rectified Linear Unit?

400

TF-IDF stands for this.

What is Term Frequency-Inverse Document Frequency?

400

AI in finance is used for this to detect fraud.

What is anomaly detection?

500

A popular logical AI language developed in the 1970s.

What is Prolog?

500

This technique is used to reduce overfitting by randomly disabling neurons during training.

What is dropout?

500

This type of neural network is suited for sequential data like text or time series.

What is a Recurrent Neural Network (RNN)?

500

This model generates text word-by-word based on learned probabilities.

This model generates text word-by-word based on learned probabilities.

500

AI technique used in chess-playing computers.

What is game tree search or Minimax algorithm?

M
e
n
u