Some sentences encapsulate the entire content of the book itself, while others instantly reach the reader's heart, creating a connection with the book. We excerpt and introduce such meaningful sentences from the book. - Editor's note


The book explains the overall context of artificial intelligence technology in easy-to-understand language, excluding complex and obscure explanations. It covers everything from the background of AI's birth, application fields, latest trends, to future development possibilities. Concepts are clearly organized with various examples to aid reader comprehension, and it also thoroughly examines various concerns about AI technology and the limitations that need to be overcome.


[A Sip of a Book] The New Life Changed by Artificial Intelligence: 'My First Artificial Intelligence Class' View original image

Machine Learning, a field of AI technology actively researched, is widely used in everyday life and industry. As the term Machine Learning implies, this technology involves machines?specifically software algorithms?learning from input data and then solving similar problems. Unlike rule-based AI, which defines knowledge in programs as ‘IF ~, THEN ~’, machine learning does not specify exactly how to proceed within the program logic. Instead, complex algorithms are programmed to learn autonomously from the input data, learning from diverse input data.


The forms of knowledge used in AI often combine rules and various data, so they are used alongside data as follows. For example, in the case of ‘If the temperature in room 213 is higher than 28°C, operate air conditioner number 5,’ it may be efficient to manage data such as room 213, 28°C, and air conditioner number 5 separately. Examining the structure of knowledge reveals that various data are mixed together with rules. Of course, all cases could be developed solely with rules, but separating them into knowledge and data makes system development much simpler.


Recently, competition in AI system development has expanded beyond improving algorithm performance and securing large-scale training data to include computer computational performance. Simple AI test programs can run on personal PCs, but AI at a level usable in industry or business requires high-performance computers with fast computational power. The human brain, which performs intelligent thinking, operates with about 100 billion brain cells simultaneously processing neural stimulation signals. This means it processes many calculations simultaneously rather than sequentially, producing results very quickly. Inspired by this, computers are developing parallel processing technology that can handle many calculations simultaneously.



My First Artificial Intelligence Class | Written by Jinwoo Kim | Mate Books | 18,000 KRW


This content was produced with the assistance of AI translation services.

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