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Neurons and AI

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What are neurons?

a)

Special cells in the human brain

b)

Types of artificial intelligence

c)

Computers that learn

d)

Movie critics

2.

How do neurons process information?

a)

They receive multiple outputs

b)

They cannot connect to each other

c)

They only store information

d)

Inputs enter, are combined, and produce an output

3.

What did early AI scientists create to mimic human neurons?

a)

Biological networks

b)

Artificial neurons

c)

Movie recommendation systems

d)

Brain-computer interfaces

4.

What is the purpose of the movie recommendation system mentioned?

a)

To create new movies

b)

To rate movie critics

c)

To guess how much you will like a movie

d)

To teach people about movies

5.

How do the critics' ratings affect the recommendation?

a)

They are ignored completely

b)

They are counted equally at first

c)

They are always weighted equally

d)

They are only used for one movie

6.

What happens when you give a rating to a movie?

a)

The system stops learning

b)

The neuron's weights are recalculated

c)

The critics' opinions are erased

d)

The system only remembers the last rating

7.

What is a powerful neural network composed of?

a)

Many neurons arranged in layers

b)

A single neuron

c)

Only input layers

d)

Only output layers

8.

What are some real-world applications of neural networks mentioned?

a)

Making movies

b)

Predicting weather

c)

Detecting and curing diseases

d)

Creating music

9.

How does the output of one layer function in a neural network?

a)

It becomes the input to another layer

b)

It is the final output

c)

It is ignored

d)

It does not relate to the other layers

10.

What is the first thing that enters a neuron?

a)

Output signals

b)

Input signals

c)

Critics' ratings

d)

Movie recommendations