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Artificial Intelligence and Machine Learning

Total questions: 30

Worksheet time: 21mins

Name
Class
Date
1.

What is intelligence?

a)

Being smart

b)

Having a high IQ

c)

The ability to acquire and apply knowledge and skills

d)

The ability to be self-aware

2.

What does A.I stand for?

a)

Artificial Intelligence

b)

Actual Intelligence

c)

Astronomical Impact

d)

Astrophysical Innovation

3.

Which is considered an example of AI?

a)

Alexa

b)

Google Home

c)

Desktop computer

d)

Toaster

4.

AI is really cheap to create.

a)

True

b)

False

5.

What is the purpose of AI?

a)

Help us learn

b)

Make our lives easier

c)

Take over the world

d)

Assist dogs and cats

6.

Which car company made the world's first advanced humanoid robot?

a)

Toyota

b)

Honda

c)

Google

d)

Tesla

7.

A robot can learn by itself using data provided to it.

a)

True

b)

False

8.

Alan Turing developed the ___________________.

a)

Computer Test

b)

Turing Test

c)

Captcha Test

d)

Captcha Code

9.

What is a Turing Test?

a)

A test used to determine your IQ

b)

A test that self driving cars need

c)

A test to determine if you're human or robot

d)

A captcha code test

10.

Select the car companies that are working in developing self-driving car systems.

a)

Tesla

b)

Google and Tesla

c)

Honda

d)

Honda and Google

11.

ASIMO was created in 2011.

a)

True

b)

False

12.

Sophia is the first humanoid robot.

a)

True

b)

False

13.

Facial Recognition is an application of artificial intelligence.

a)

True

b)

False

14.

Google Translate uses ________________ to improve its results.

a)

Machine Learning

b)

Internet

c)

Machine Optimization

d)

Data Warehouses

15.

Sophia has (a)   citizenship.

16.

AI is being used in the medical field to:

a)

Operate

b)

Diagnose

c)

Assist nurses

d)

Move things

17.

What is data mining?

a)

Collecting password

b)

Getting 5G signal

c)

Extracting usable data

d)

Selling data on the deep web

18.

Machine Learning is a preferred approach to:

a)

Medical Analysis

b)

Speech Recognition

c)

GPS Navigation Systems

d)

Cleaning Robots

19.

Select the role of statistics in Machine Learning.

a)

Make an inference from a sample

b)

Provide a solution

c)

Come up with an answer

d)

Develop and present a model

20.

What is the role of Computer Science in Machine Learning?

a)

Solve problems

b)

Collect data

c)

Provide a model that solves the problem

d)

Cluster data

21.

What is supervised learning in machine learning?

a)

Providing unlabeled data to computers

b)

Programming a computer

c)

Programming a robot

d)

Providing labeled data to the machine

22.

What is Machine Learning?

a)

A type of AI

b)

Training computers with code

c)

Computer Science

d)

Computer Programming

23.

What is the most common Machine Learning type?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Trained Learning

d)

Supercoded Learning

24.

The purpose of AI is to improve with each interaction that it has with the user.

a)

True

b)

False

25.

Machine Learning is being used to diagnose patients in hospitals.

a)

True

b)

False

26.

The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.

a)

Machine Learning

b)

Artificial Intelligence

27.

Learning from examples in a training data set is:

a)

Supervised Learning

b)

Unsupervised Learning

28.

When the machine will be provided with features only. It will then try to group objects with similar features

a)

Supervised Learning

b)

Unsupervised Learning

29.

Which of these does NOT use machine learning/AI?

a)

driverless cars

b)

SIRI/Alexa

c)

Sonos wireless speakers

d)

facial recognition on your phone

30.

Which of these is NOT an AI technology?

a)

Facial recognition

b)

Image recognition

c)

Robotics

d)

Animation