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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

Application 1 – health – computational drug repurposing

Statista (source: https://www.statista.com/outlook/dmo/ecommerce/beauty-health-personal-household-care/health-care/worldwide) shows that the worldwide healthcare domain is projected to generate revenue figures exceeding US$63 billion in 2023 while enjoying an annual growth rate of 10.15%. Numbers aside, the health domain is one of the few industries directly affecting everyone. Subsequently, its relevance to the average Joe is significant.

The health industry is not new to the field of AI. Several AI applications exist, from disease research acceleration to drug discovery, medical imaging, and patient screening. More recently, AI played a massive role in accelerating the discovery of the COVID-19 vaccine (see https://sloanreview.mit.edu/audio/ai-and-the-covid-19-vaccine-modernas-dave-johnson/). It is safe to say that the health domain motivates AI research. Given its extreme sensitivity, one of the biggest challenges...

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