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Practical Artificial Intelligence and Blockchain

You're reading from Practical Artificial Intelligence and Blockchain

Product type Book

Published in Jul 2020

Publisher Packt

ISBN-13 9781838822293

Pages 290 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Ganesh Prasad Kumble

Table of Contents (15) Chapters

Preface

1. Section 1: Overview of Blockchain Technology

2. Getting Started with Blockchain

3. Introduction to the AI Landscape

4. Section 2: Blockchain and Artificial Intelligence

5. Domain-Specific Applications of AI and Blockchain

6. AI- and Blockchain-Driven Databases

7. Empowering Blockchain Using AI

8. Cryptocurrency and Artificial Intelligence

9. Section 3: Developing Blockchain Products

10. Development Life Cycle of a DIApp

11. Implementing DIApps

12. The Future of AI with Blockchain

13. Moving Forward - Resources for you

14. Other Books You May Enjoy

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Blockchain resources

We hope this book has provided you with basic knowledge of the fundamental concepts of blockchain, followed by the hands-on knowledge needed to build applications on blockchains such as Ethereum and Hyperledger. To enable you further, we are sharing a few more important resources to delve deeper into other blockchain platforms and protocols.

In the following sections, you will go through an exhaustive list of internet resources required to upskill beyond what you have learned in this book.

Awesome Blockchain

This repository on GitHub is a curated list of resources for the top blockchain platforms. It also enlists the best links on research articles, case studies, books, and so on. You can access the Awesome Blockchain repository on GitHub using the following link: https://github.com/yjjnls/awesome-blockchain.

News

Blockchain is one of the most agile industries, transforming almost every day. If you are interested in staying on your toes with the latest information...

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Authors (1)

Ganesh Prasad Kumble

Ganesh Prasad Kumble is an expert in emerging technologies and business strategy. He has co-founded, bootstrapped, and mentored several start-ups and initiatives across SaaS, e-commerce, IoT, Blockchain, and AI. He is a contributor to several open source projects, including Ethereum and IPFS. He authored TEXA in 2017 - an ethical AI initiative based on the Turing test that is used to safely assess multi-context robots and AI models in a quantifiable manner. He is currently leading platform innovation efforts at Aicumen Technologies, Inc. and KIP Foundation, building a general-purpose business protocol featuring identity management, third-party services, distributed compute, and immutable storage. Ganesh is also a moderator at the Ethereum Research forum.

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