AI Epi
AI Epi Quiz: Test Your Knowledge on Artificial Intelligence
Welcome to the AI Epi Quiz! Dive into the fascinating world of Artificial Intelligence and explore how AI systems interact with humans and their environments. This quiz will challenge your understanding of key concepts, tools, and methods in the field of AI.
Key Features:
- Engaging questions covering various AI topics
- Test your knowledge and improve your understanding
- Suitable for all levels of AI enthusiasts
If a robot needs to go somewhere else, it is all about:
Localization
Planning
Mapping
Manipulation
The only use for AI systems is just automation replacing jobs:
True
False
Both true and false
Neither true nor false
What is the major goals of IA?
Robotics
Natural Language Processing
All these goals
Machine learning
What do reinforment learning methods need?
A lot of time
A lot of CPU power
A lot of RAM
A lot of money
Which tool improved the accuracy of speech recognition?
Mapping
Machine learning
Statistics
Linguistics
Which tool facilitates the calculation of an AI accuray?
The step function
The bias
The distribution graph
The confusion matrix
Which mathematical tool can be used for optimization of a neural network architecture?
Geometry
Integration
Matrix inversion
Linear regression
What should be balanced reinforcement learning?
Policy and Values
Exploitation and Exploration
State and Actions
Trials and Errors
When an AI tries to find patterns on its own, it is
Unsupervised learning
Supervised learning
Reinforcement learning
Cluster analysis
Which type of learning needs "reward"?
Supervised learning
Reinforcement learning
Unsupervised learning
Neural networks
NLP stands for?
New Language Paradigm
Natural Language Processing
Neuroscientific Learning by Peers
National League of Pokemons
Learning without training labels corresponds to
Unsupervised learning
Classification learning
Reinforcement learning
Supervised learning
Overfitting issues may increase according to
Neural network complexity
Neural network velocity
Neural network recall
Neural network precision
Which statement is false?
Effects requieres precondition
Actions requieres precondition
Actions have effects
Consequences have actions
When an AI agent recognizes different properties and creates categories, it is
Unsupervised clustering
Supervised learning
Dynamic learning
Reinforcement learning
When is a machine said to have artificial intelliegence?
If it has one (or more) algorithm(s)
If it can solve a human problem
If it can input and output data
If it can interpret data, learn from data, and adapt
What is the main risk of backpropagation?
Overfitting a training data set
Decreasing the precision to increase the recall
Security breaches
Decreasing the recall to increase the precision
Which statement is true about IA?
All these statements are true
Lexus relased a commercial written entirely by an AI
Some neural networks have been used to generate new Harry Potter chapters
Actually, nothing proves that we are not inside a simulation
Which event is widely considered to be the foundation of AI as a field?
The ACM Conference on Information and Knowladge Management (CIKM)
The Darthmouth Summer Research Project
The ACM Symposium on Theory of Computing (STOC)
The IEEE Symposium on FUndation of COmputer Science (FOCS)
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