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Everything You Never Knew About Artificial Intelligence, From A to Z

There are many books about AI.
But most of the books are about phenomena.
It only contains a diagnosis of reality and predictions about what surprising things are happening these days and what even more surprising things will happen in the future.
"The Ultimate AI Class for Teens" goes one step further.
A leading Korean scientist explains the vague nature of artificial intelligence and vividly describes the changes that will come in the future.
Through this book, you can learn exactly what artificial intelligence is and think broadly about how we will coexist with it in the future.
You will be able to discover and develop your own strengths suitable for the era of artificial intelligence.
Additionally, we have included a story about 'jobs in the AI ​​era' that young people are curious about, as well as a collection of the most frequently asked questions during AI classes, as an appendix.
It will be of great help to young people who are having trouble choosing a career related to artificial intelligence.

“There are many technologies in software technology other than artificial intelligence.
It can be listed as operating system technology that allows computers to operate efficiently, programming language technology that enables program writing, network technology that operates the Internet, information protection technology that deals with security, graphics and AR/VR technology that creates beautiful or realistic images, database technology that stores and manages large amounts of data, and software engineering that deals with software productivity and reliability.
It is not called artificial intelligence technology.
The boundaries are vague, but only technologies that mimic and build intelligent behavior are called artificial intelligence technologies.”

“The field of study on artificial intelligence that recognizes human emotions and responds appropriately is called affective computing.
Judging a person's emotional state by listening to their facial expressions or voice.
If AI detects that a student is bored in class and notifies the teacher, the teacher can take a break or change the teaching method.
It is also possible to read comments and find out readers' reactions, or read long sentences and analyze their nuances.”

“When the space to be explored is so complex that it is computationally difficult to find the optimal solution, we must attempt to solve the problem using only the limited local information we have.
A local search algorithm is to move one step from the current location to the best neighbor, that is, the neighbor where the value of the (objective) function increases the most.
Repeat this.
This search method is called the Hill-Climbing algorithm.
This algorithm can be thought of as a method for finding the summit in a foggy mountain where you cannot see ahead.
Since you can't see ahead and can't see the entire terrain, you can't figure out how to get to the top.
The only thing you can try in this case is to take a step up in the direction of the steepest slope.
If you keep doing this, you will reach the top.”

“The word learning generally means that behavior changes and develops through the accumulation of experience.
However, machine learning, as discussed in artificial intelligence, is a general term for 'research on computer algorithms that improve performance.'
Computers with machine learning capabilities improve their abilities on their own through observation and experience of the external environment, without being explicitly programmed by a developer.”

“CNN is a multilayer neural network specialized for image recognition.
Inspired by how the visual system of animals works.
In object recognition in two-dimensional images, spatially close pixels have a strong correlation.
The influence of distant pixels may be small or nonexistent. CNNs exploit this characteristic to dramatically simplify network architecture. CNNs extract local features using filters.
This operation is called convolution.
Create a feature map using the extracted features.
“We extract and use different features from the same area using multiple filters.”

“Natural language understanding is a field of study that enables computers to understand human language.
It also includes the creation of natural sentences and dialogue.
The task of making machines use human language is being studied as a core field of artificial intelligence.
However, among the various research areas of artificial intelligence, natural language understanding is still an unknown area with a long way to go.
“I think this might be the final hurdle to creating a machine that can coexist with humans.”

--- From the text