Quiz Flashcards
What distinguishes an intelligent system from a traditional computer system?
a) Intelligent systems follow pre-programmed rules
b) Traditional computer systems learn and adapt over time
c) Intelligent systems can reason, learn, and adapt
d) Traditional systems improve through reinforcement learning
c) Intelligent systems can reason, learn, and adapt
Which of the following is NOT a key component of an intelligent system?
a) Sensors/Perception
b) Knowledge Base
c) Manual Programming Interface
d) Learning Algorithm
c) Manual Programming Interface
Which machine learning technique allows an intelligent system to improve based on rewards or penalties?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Deep Learning
c) Reinforcement Learning
What is the primary difference between AI, ML, and DL?
a) AI is a subset of deep learning
b) ML is a subset of AI, and DL is a subset of ML
c) AI and ML are unrelated fields
d) Deep Learning is broader than AI
b) ML is a subset of AI, and DL is a subset of ML
What is the role of the Inference Engine in an expert system?
a) To collect data from the environment
b) To process and apply logic for decision-making
c) To store knowledge for future reference
d) To interact with the user interface
b) To process and apply logic for decision-making
Which issue is a primary concern when deploying intelligent systems in high-stakes environments (e.g., healthcare, autonomous driving)?
a) Computational efficiency
b) Lack of training data
c) Explainability and accountability
d) Cost of hardware
c) Explainability and accountability
Which of the following strategies would most effectively reduce bias in an AI system?
a) Increasing the number of hidden layers in a neural network
b) Using a more diverse and representative training dataset
c) Applying unsupervised learning instead of supervised learning
d) Ensuring the system never makes predictions about people
b) Using a more diverse and representative training dataset
Which AI approach is best suited for a robot that must learn to navigate an unfamiliar environment while avoiding obstacles?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Decision Trees
c) Reinforcement Learning
What is the most important reason for promoting data literacy in an organization?
a) To eliminate the need for data analysts
b) To ensure that all employees can manipulate large datasets
c) To improve decision-making based on accurate data interpretation
d) To reduce the cost of data storage
c) To improve decision-making based on accurate data interpretation
Which of the following is NOT a characteristic of a data-literate culture?
a) Data Fluency
b) Analytical Skills
c) Resistance to using data
d) Data Visualization
c) Resistance to using data
What is the primary role of pooling layers in a CNN?
a) To increase the resolution of the feature maps
b) To reduce dimensionality while preserving important features
c) To perform element-wise multiplication with filters
d) To replace the activation function
b) To reduce dimensionality while preserving important features
What are some common applications of RNNs beyond natural language processing? Give at least two examples and explain why RNNs are suitable for these tasks. (4 PTS)
Time series forecasting: RNNs predict future values (e.g., stock prices) by learning from past trends. Their memory of prior data points is crucial for capturing temporal dependencies.
Music generation: RNNs create music by learning note/rhythm patterns. They generate coherent melodies because they consider the relationships between successive notes in a musical sequence.
Crows
Microwave
Lie with arrows point up
lighten up
back of person and 1-4
Back and fourth
Cats and dogs in AI generated photo
Its raining cats and dogs
