A. AI making accurate predictions
B. AI systems performing tasks faster
C. AI systems making unfair decisions
D. AI systems consuming too much power

A. Healthcare
B. Finance
C. Education
D. Agriculture

A. Deep Learning
B. Rule-based systems
C. Decision Trees
D. Support Vector Machines

A. A program that simulates human conversation
B. A robot that performs household tasks
C. A machine that translates languages
D. A tool for analyzing financial data

A. Natural Language Processing
B. Computer Vision
C. Expert Systems
D. Robotics

A. Reinforcement learning
B. Collaborative filtering
C. K-means clustering
D. Genetic algorithms

A. To split text into smaller units
B. To remove noise from the data
C. To translate text into another language
D. To encode text into binary format

A. Speech recognition
B. Machine translation
C. Chatbots
D. All of the above

A. Neural Learning Process
B. Natural Language Processing
C. Network Link Protocol
D. None of the above

A. Naive Bayes
B. Apriori algorithm
C. K-means clustering
D. Principal Component Analysis

A. To interpret and generate human language
B. To perform mathematical calculations
C. To recognize objects in images
D. To control robotic movements

A. Long Short-Term Memory (LSTM)
B. Fully Connected Network
C. Convolutional Neural Network (CNN)
D. Generative Adversarial Network (GAN)

A. To increase the dimensions of the input
B. To reduce the dimensions of the input
C. To normalize the input data
D. To perform classification

A. Convolutional Neural Network
B. Computational Neural Network
C. Conventional Neural Network
D. Central Neural Network

A. ReLU
B. Sigmoid
C. Tanh
D. All of the above