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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

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804617625
Length 196 pages
Edition 1st Edition
Concepts
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Authors (2):
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Alexiei Dingli Alexiei Dingli
Author Profile Icon Alexiei Dingli
Alexiei Dingli
David Farrugia David Farrugia
Author Profile Icon David Farrugia
David Farrugia
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Table of Contents (12) Chapters Close

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 11. Other Books You May Enjoy

The Evolution and Pitfalls of AI

Artificial intelligence (AI) is considered by many as the new kid on the block, but in reality, it’s more of an elderly person. Significantly, few people realize that the AI drive we’re experiencing today started around the Second World War. Back then, people such as Vannevar Bush, John von Neumann, and Claude Shannon were very much toying with different ideas that eventually led to the creation of today’s modern computers. However, it was Alan Turing, the famous British mathematician, who, after using a rudimentary computer during the war, started visualizing the potential of AI. After the Second World War, many other scientists came on board and eventually created the field of AI. The initial drive was toward using algorithms capable of manipulating symbols (such as alphanumeric characters) but eventually, these techniques hit a brick wall. In the past three decades, we have seen a steady shift toward a different kind of AI, called...

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