Ai 2 Flashcards

1
Q

Delete questionWhat does AI stand for?

A

Artificial Intelligence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

True or False: AI can only perform tasks that it has been explicitly programmed to do.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Fill in the blank: Machine learning is a subset of ______.

A

Artificial Intelligence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Which of the following is a common use case of AI in healthcare? (a) Inventory management (b) Disease diagnosis (c) Scheduling meetings

A

b) Disease diagnosis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is natural language processing (NLP)?

A

A field of AI that enables computers to understand, interpret, and respond to human language.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

True or False: AI can analyze large datasets faster than a human can.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Short Answer: Name one advantage of using AI in customer service.

A

24/7 availability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Which algorithm is commonly used in supervised learning?

A

Linear regression.

Linear regression is a fundamental algorithm in AI that models the relationship between input features and a continuous output by fitting a straight line to the data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

True or False: AI can improve its performance over time through learning.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is reinforcement learning?

A

A type of machine learning where an agent learns to make decisions by receiving rewards or penalties.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the Turing Test used for?

A

To determine whether a machine exhibits human-like intelligence.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Which of the following is NOT a type of AI? (a) Narrow AI (b) General AI (c) Super AI (d) Quantum AI

A

d) Quantum AI

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Short Answer: What is an example of AI in autonomous vehicles?

A

Self-driving technology

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

True or False: AI can only be used in technology sectors.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is computer vision?

A

A field of AI that enables computers to interpret and make decisions based on visual data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Fill in the blank: AI can enhance ______ by personalizing content recommendations.

17
Q

What is the difference between supervised and unsupervised learning?

A

Supervised learning uses labeled data, while unsupervised learning does not.

18
Q

Which technology is often used in AI chatbots?

A

Natural Language Processing (NLP)

19
Q

True or False: AI can help in predictive analytics.

20
Q

What is a neural network?

A

A computational model inspired by the human brain, used in machine learning.

21
Q

Fill in the blank: AI can optimize ______ in supply chain management.

22
Q

What is the role of data in AI?

A

Data is used to train AI models to recognize patterns and make decisions.

23
Q

Short Answer: Name one ethical concern related to AI.

A

Bias in decision-making

24
Q

Which of the following is a potential use of AI in agriculture? (a) Pest control (b) Weather forecasting (c) Both a and b

A

c) Both a and b

26
Q

What is linear regression

A

Linear regression is a way to find the best straight line through a bunch of dots on a graph, so you can make predictions. For example, if you know how study time affects test scores, you can use it to guess someone’s score based on how long they studied.