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AI Application Part 2

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

Which man is credited with coining the term 'artificial intelligence' in 1955 and is considered one of the early pioneers in the field? (Perhaps he was a relative of Tail Gunner Joe.)

a)

John McCarthy

b)

L. Ron Hubbard

c)

Isaac Asimov

d)

Alan Turing

2.

One of the biggest problems still facing artificial intelligence researchers is the human ability to think and reason intuitively because this cannot yet be duplicated in a computer environment.

a)

True

b)

False

3.

Which of the following is an application of AI?

a)

Self driving cars

b)

Generating musical compositions

c)

Generating E-mail subject

d)

Identifying text in an image

e)

All

4.

What is the full form of NLP

a)

Nature language process

b)

Natural Language Processing

c)

Nature Lateral Processing

5.

Which of the following is the application of Computer vision

a)

Flower species recognition

b)

Email classification

c)

Image captioning

6.

Which of the following is an application of natural language processing?


a)

Voice assistants like Amazon Alexa and Siri

b)

Chatbots

c)

Sentiment analysis

d)

All of the above

7.

What is the primary purpose of machine learning in artificial intelligence?

a)

To enable computers to process data and perform calculations faster.

b)

To create autonomous robots that can interact with humans.

c)

To develop algorithms that allow computers to learn from and make predictions or decisions based on data.

d)

To simulate human-like intelligence in machines.

8.

Does pattern classification belongs to category of non-supervised learning?

a)

YES

b)

NO

9.

What is unsupervised learning?

a)

features of group explicitly stated

b)

number of groups may be known

c)

neither feature & nor number of groups is known

d)

none of the mentioned

10.

What does a neuron compute?

a)

A neuron computes an activation function followed by a linear function (z = Wx + b)

b)

A neuron computes a linear function (z = Wx + b) followed by an activation function

c)

A neuron computes the mean of all features before applying the output to an activation function