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Neuro-Symbolic AI

You're reading from Neuro-Symbolic AI Design transparent and trustworthy systems that understand the world as you do

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781804617625

Length 196 pages

Edition 1st Edition

Concepts

Design

Authors (2):

Alexiei Dingli

David Farrugia

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Table of Contents (12) Chapters

Preface

1. Chapter 1: The Evolution and Pitfalls of AI

2. Chapter 2: The Rise and Fall of Symbolic AI FREE CHAPTER

3. Chapter 3: The Neural Networks Revolution

4. Chapter 4: The Need for Explainable AI

5. Chapter 5: Introducing Neuro-Symbolic AI – the Next Level of AI

6. Chapter 6: A Marriage of Neurons and Symbols – Opportunities and Obstacles

7. Chapter 7: Applications of Neuro-Symbolic AI

8. Chapter 8: Neuro-Symbolic Programming in Python

9. Chapter 9: The Future of AI

10. Index

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Authors (2)

Alexiei Dingli

Alexiei Dingli

Alexiei Dingli is a professor of artificial intelligence at the University of Malta. As an AI expert with over two decades of experience, his research has helped numerous companies around the world successfully implement AI solutions. His work has been recognized globally, with international experts rating it as world-class. He is a recipient of multiple prestigious awards, including those from the European Space Agency, the World Intellectual Property Organization, and the United Nations, to name a few. With a rich collection of peer-reviewed publications to his name, he is also an esteemed member of the Malta.AI task force, which was established by the Maltese government to propel Malta to the forefront of the global AI landscape.

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David Farrugia

David Farrugia

David Farrugia is a seasoned data scientist and a Ph.D. candidate in AI at the University of Malta. David Farrugia has worked in diverse industries, including gaming, manufacturing, customer relationship management, affiliate marketing, and anti-fraud. He has an interest in exploring the intersection of business and academic research. He also believes that the emerging field of neuro-symbolic AI has the potential to revolutionize the way we approach AI and solve some of the most complex problems in the world.

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