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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 Future of AI

I’m sure that by now, no one is doubting that artificial intelligence (AI) is one of the most powerful technologies of our time. It has enabled breakthroughs in many domains, including computer vision, natural language processing, speech recognition, self-driving cars, and more. But the million-dollar question is, what does the future hold? How will it impact our society, economy, and environment? What are the opportunities and challenges that lie ahead?

Top experts have different viewpoints on the matter.

Geoffrey Hinton, one of the pioneers of deep learning, believes that we need to go beyond the current paradigm of neural networks and explore new ways of modeling complex phenomena, such as causality, common sense reasoning, and consciousness. Recently, Geoffrey Hinton resigned from his position at Google over growing concerns about the ethical implications of AI.

Yoshua Bengio, another deep learning pioneer, is excited about generative AI models...

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