Quiz_________________?
A spreadsheet that calculates sums and other pre-defined functions on given data -
Answer✅
No (not AI) [The outcome is determined by the user-specified formula, no AI needed.]
Quiz_________________?
Predicting the stock market by fitting a curve to past data about stock prices -
Answer✅
Kind of/no/yes [Fitting a simple curve is not really AI, but there are so many different curves
to choose from, even if there's a lot of data to constrain them, that one needs machine
learning/AI to get useful results.]
Quiz_________________?
A GPS navigation system for finding the fastest route -
Answer✅
Kind of/no/yes [the signal processing and geometry used to determine the coordinates isn't
AI, but providing good suggestions for navigation (shortest/fastest routes) is AI, especially if
variables such as traffic conditions are taken into account.]
Quiz_________________?
A music recommendation system such as Spotify that suggests music based on the users'
listening behavior -
1
, Answer✅
Yes [The system learns from the users' (not only your) listening behavior.]
Quiz_________________?
Big data storage solutions that can store huge amounts of data (such as images or video) and
stream them to many users at the same time -
Answer✅
No [Storing and retrieving specific items from a data collection is neither adaptive or
autonomous.]
Quiz_________________?
Photo editing features such as brightness and contrast in applications such as Photoshop -
Answer✅
kind of & no [Adjustments such as color balance, contrast, and so on, are neither adaptive
nor autonomous, but the developers of the application may use some AI to automatically
tune the filters.]
Quiz_________________?
Style transfer filters in applications such as Prisma that take a photo and transform it into
different art styles (impressionist, cubist, ...) -
Answer✅
Yes [Such methods typically learn image statistics (read: what small patches of the image in a
certain style look like up close) and transform the input photo so that its statistics match
the style, so the system is adaptive.]
Quiz_________________?
Where would you put AI? (AI is a part of computer science.) -
Answer✅
Section B
2
, Quiz_________________?
Where would you put machine learning? (Machine learning is usually considered to be a part
of AI) -
Answer✅
Section C
Quiz_________________?
Where would you put computer science? (Computer science is a relatively broad field that
includes AI but also other subfields such as distributed computing, human-computer
interaction, and software engineering.) -
Answer✅
Section A
Quiz_________________?
Where would you put data science? (Data science needs computer science and AI.
However, it also involves a lot of statistics, business, law, and other application domains, so
it is usually not considered to be a part of computer science.) -
Answer✅
Section E
Quiz_________________?
Where would you put deep learning? (Deep learning is a part of machine learning.) -
Answer✅
Section D
Quiz_________________?
Autonomous car -
Answer✅
Autonomous cars apply a wide range of techniques to function. These include statistics,
robotics, and machine learning.
3
A spreadsheet that calculates sums and other pre-defined functions on given data -
Answer✅
No (not AI) [The outcome is determined by the user-specified formula, no AI needed.]
Quiz_________________?
Predicting the stock market by fitting a curve to past data about stock prices -
Answer✅
Kind of/no/yes [Fitting a simple curve is not really AI, but there are so many different curves
to choose from, even if there's a lot of data to constrain them, that one needs machine
learning/AI to get useful results.]
Quiz_________________?
A GPS navigation system for finding the fastest route -
Answer✅
Kind of/no/yes [the signal processing and geometry used to determine the coordinates isn't
AI, but providing good suggestions for navigation (shortest/fastest routes) is AI, especially if
variables such as traffic conditions are taken into account.]
Quiz_________________?
A music recommendation system such as Spotify that suggests music based on the users'
listening behavior -
1
, Answer✅
Yes [The system learns from the users' (not only your) listening behavior.]
Quiz_________________?
Big data storage solutions that can store huge amounts of data (such as images or video) and
stream them to many users at the same time -
Answer✅
No [Storing and retrieving specific items from a data collection is neither adaptive or
autonomous.]
Quiz_________________?
Photo editing features such as brightness and contrast in applications such as Photoshop -
Answer✅
kind of & no [Adjustments such as color balance, contrast, and so on, are neither adaptive
nor autonomous, but the developers of the application may use some AI to automatically
tune the filters.]
Quiz_________________?
Style transfer filters in applications such as Prisma that take a photo and transform it into
different art styles (impressionist, cubist, ...) -
Answer✅
Yes [Such methods typically learn image statistics (read: what small patches of the image in a
certain style look like up close) and transform the input photo so that its statistics match
the style, so the system is adaptive.]
Quiz_________________?
Where would you put AI? (AI is a part of computer science.) -
Answer✅
Section B
2
, Quiz_________________?
Where would you put machine learning? (Machine learning is usually considered to be a part
of AI) -
Answer✅
Section C
Quiz_________________?
Where would you put computer science? (Computer science is a relatively broad field that
includes AI but also other subfields such as distributed computing, human-computer
interaction, and software engineering.) -
Answer✅
Section A
Quiz_________________?
Where would you put data science? (Data science needs computer science and AI.
However, it also involves a lot of statistics, business, law, and other application domains, so
it is usually not considered to be a part of computer science.) -
Answer✅
Section E
Quiz_________________?
Where would you put deep learning? (Deep learning is a part of machine learning.) -
Answer✅
Section D
Quiz_________________?
Autonomous car -
Answer✅
Autonomous cars apply a wide range of techniques to function. These include statistics,
robotics, and machine learning.
3
