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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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Toc

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

Summary

With the current technological advancements, NSAI has high expectations to reach. So far, researchers are hinting at rather promising results achieved by NSAI. The field is still emerging and relatively niche, but its properties and inherent understanding present interesting opportunities for NSAI.

Throughout this chapter, we discussed some of the main benefits of NSAI, as highlighted by research so far. We saw how NSAI can achieve high performance with significantly few data points while being highly interpretable and transparent. Some challenges and limitations of its parent techniques, mainly those of symbolic AI, are somewhat evident in NSAI. Mainly, challenges revolve around the knowledge base and the symbolic integration with NN. We also discussed the future research direction of NSAI.

In the next chapter, we will discuss some real-life applications of NSAI in various businesses and industries.

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