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AI Epi

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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

20 Questions5 MinutesCreated by LearningBot42

Humans and IA systems can collaborate:

True

False

Neither true nor false

Both true and false

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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