Introduction to Artificial Intelligence E-Book

Topin

• Herausgeber: GPS CONSULTORIA, PESQUISA E INFORMACAO LTDA
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Veröffentlichungsjahr: 2022

Beschreibung

Introduction to Artificial Intelligence presents a straightforward but detailed description of the types of AI, as well as the concepts of Machine Learning, Neural Networks, and Deep Learning. In addition, the eBook promotes an overview of the applications of this technology in various sectors, its prospects for the future, and key challenges. Get yours now and learn more about the promising universe of Artificial Intelligence!

Leseprobe

Table of Contents

Introduction

Types of Artificial Intelligence

Machine Learning

Neural Networks

Deep Learning

Perspective and Challenges

Conclusion

References

Introduction

Artificial Intelligence (AI) is increasingly present in our daily lives, with applications in countless areas, from entertainment – such as electronic games and virtual assistants – to healthcare – image-based disease detection, patient monitoring systems, and assistance in developing new medicines, for example.

Despite its recent popularization, AI is not a new concept. It is so named due to a study conducted at the University of Dartmouth, led by John McCarthy in 1956, influenced by great mathematicians and computer scientists, such as Alan Turing (who is considered the father of computer science and AI), John von Neumann, and others, who sought to answer the question: “Are machines capable of thinking?”

The term Artificial Intelligence encompasses any technique that allows an algorithm to mimic human behavior, whether it is social interaction or even brain function. The concept of AI has different subsets, such as Machine Learning, Computer Vision, Deep Learning, Artificial Neural Networks, and others.

Types of Artificial Intelligence

a. Reactive

It is the most basic and primitive kind. In it, AI only reacts to input data and does not learn or gain experience as it is used. Thus, it will give the same answer to the same question regardless of how many times the latter is asked.

A good example of this type of AI is those implemented in games with limited and exact results and moves, such as chess, checkers, and tic-tac-toe, or the recommendation systems of streaming platforms, such as YouTube, Netflix, and others.

b. Limited Memory

Unlike Reactive AI, the Limited Memory model uses preprogrammed information and data from previous processing and learns with them to make more assertive decisions. Most of the current AI applications adopt this type.