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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

Application 3 – finance – bank loan risk assessment

In the ever-evolving world of finance, there is a growing need to stay ahead of the curve and be competitive. AI has proven to be a powerful tool in achieving this, providing financial institutions with real-time data processing, generating accurate predictions, and automating mundane and repetitive tasks. AI is not restricted to large financial organizations. Small and medium-sized companies can also exploit AI to provide valuable insights into operations and customer behavior. As regulations become increasingly complex and the threat of fraud looms, AI can also assist financial institutions in complying with regulations and detecting fraudulent activities. As the finance industry continues to evolve and adapt to the digital age, the importance and necessity of AI will only continue to grow.

Application details

Hatzilygeroudis, I. and Prentzas, J. (2011). Fuzzy and Neuro-Symbolic Approaches to Assessment of Bank...

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