Book Image

Practical Artificial Intelligence and Blockchain

By : Ganesh Prasad Kumble
Book Image

Practical Artificial Intelligence and Blockchain

By: Ganesh Prasad Kumble

Overview of this book

AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern.
Table of Contents (15 chapters)
Section 1: Overview of Blockchain Technology
Section 2: Blockchain and Artificial Intelligence
Section 3: Developing Blockchain Products

Types of AI

There are several forms of AI, each conceived to solve different problems. AI can be categorized and classified by various different criteria, including the theoretical approach used to design it and the application domain for which it is intended to be used.

Efforts at categorization were directly influenced by some parameters such as the ability to learn a particular task without supervision, obtaining cognitive abilities, and the ability to perform reasoning similar to humans. Based on these and a complex set of expectations, we will look into the three basic types of AI.

Weak AI

Also generally known as narrow AI, weak AI can be used to execute narrow and repetitive tasks. Weak AI functions are based on a preexisting combination of logic and data. User inputs are processed based on the same logic, and hence, weak AI lacks self-consciousness and aggressive learning abilities. Some prominent examples of weak AI implementations are voice assistants, chatbots, and linguistic...