13. What does text-to-speech do?

Converts text to speech, Helps visually impaired

7. How to improve Machine Learning model accuracy?

Processing data correctly, Validating data, Collecting more data

2. Which is an example of weak AI?

Google Translate, Siri, Face ID

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Artificial Intelligence Tech Quiz

18 termsStudBud Administration103 plays

Test your knowledge on AI with questions ranging from machine learning to natural language processing and ethical considerations.

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Questions 18

Answers

1
16. Best chatbot type for complex service?
Keyword recognition
All equally good
Natural Language Processing
Menu-based
2
13. What does text-to-speech do?
Translates languages
Converts text to speech
Helps visually impaired
Analyzes sound waves
3
6. Key difference between Machine Learning (ML) and Deep Learning (DL)?
DL processes layer by layer
ML needs more data
ML is more expensive
DL is less accurate
4
7. How to improve Machine Learning model accuracy?
Processing data correctly
Using blurry images
Validating data
Collecting more data
5
1. What is AI's main goal?
To replace all jobs
To mimic human intelligence
To create new languages
To increase computer speed
6
17. Technology for analysing customer emotions?
Email Classifier
Machine Translation
Text Sentiment Analysis
Content Summarization
7
10. Risk of using Deepfake tech?
Enhances security
Reduces energy use
Violates privacy
Improves video quality
8
4. Essential tech for smart trash bins?
Deepfake
Text Prediction
Internet of Things (IoT)
Speech Recognition
9
8. What do computers see in images?
Pixels
Colors and shapes
Emotions
Stories
10
11. How do machines comprehend sounds?
Mimicking human ears
Converting sounds to images
Feeling vibrations
Through spectrograms
11
9. Task for 'Remove Background' feature?
Image Segmentation
Object Detection
Image Localization
Image Classification
12
14. Ethical concern of AI music?
It's too loud
It's always original
It's too fast
May cause copyright issues
13
5. Which step is NOT in machine learning?
Pausing
Building a model
Defining a problem
Data processing
14
18. Ethical consideration for Natural Language Processing (NLP) systems?
Increasing model size
Adding more languages
Making systems faster
Using illegal data
15
15. Main purpose of Natural Language Processing?
Create new languages
Increase internet speed
Understand human language
Design chatbots only
16
3. What does the Turing Test measure?
AI’s speed
Mimicking human conversation
AI's creativity
Evaluating AI's accuracy
17
12. Application using voiceprint recognition?
Route planning
Banking authentication
Face ID unlocking
Weather forecasting
18
2. Which is an example of weak AI?
Self-aware robot
Google Translate
Siri
Face ID

Artificial Intelligence Tech Quiz Flashcards | StudBud