Neuro-Symbolic AI: Design transparent and trustworthy systems that understand the world as you do

Explore the inner workings of AI along with its limitations and future developments and create your first transparent and trustworthy neuro-symbolic AI system

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Understand symbolic and statistical techniques through examples and detailed explanations
• Explore the potential of neuro-symbolic AI for future developments using case studies
• Discover the benefits of combining symbolic AI with modern neural networks to build transparent and high-performance AI solutions

Book Description

Neuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.

You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.

Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.

What you will learn

• Gain an understanding of the intuition behind neuro-symbolic AI
• Determine the correct uses that can benefit from neuro-symbolic AI
• Differentiate between types of explainable AI techniques
• Think about, design, and implement neuro-symbolic AI solutions
• Create and fine-tune your first neuro-symbolic AI system
• Explore the advantages of fusing symbolic AI with modern neural networks in neuro-symbolic AI systems

Who this book is for

This book is ideal for data scientists, machine learning engineers, and AI enthusiasts who want to explore the emerging field of neuro-symbolic AI and discover how to build transparent and trustworthy AI solutions. A basic understanding of AI concepts and familiarity with Python programming are needed to make the most of this book.

Table of Contents

1. The Evolution and Pitfalls of AI
2. The Rise and Fall of Symbolic AI
3. The Neural Networks Revolution
4. The Need for Explainable AI
5. Introducing Neuro-Symbolic AI: The Next Level of AI
6. A Marriage of Neurons and Symbols: Opportunities and Obstacles
7. Applications of Neuro-Symbolic AI
8. Neuro-Symbolic Programming in Python
9. The Future of AI

Alexiei Dingli is a professor of artificial intelligence at the University of Malta. As an AI expert with over two decades of experience, his research has helped numerous companies around the world successfully implement AI solutions. His work has been recognized globally, with international experts rating it as world-class. He is a recipient of multiple prestigious awards, including those from the European Space Agency, the World Intellectual Property Organization, and the United Nations, to name a few. With a rich collection of peer-reviewed publications to his name, he is also an esteemed member of the Malta.AI task force, which was established by the Maltese government to propel Malta to the forefront of the global AI landscape.

David Farrugia is a seasoned data scientist and a Ph.D. candidate in AI at the University of Malta. David Farrugia has worked in diverse industries, including gaming, manufacturing, customer relationship management, affiliate marketing, and anti-fraud. He has an interest in exploring the intersection of business and academic research. He also believes that the emerging field of neuro-symbolic AI has the potential to revolutionize the way we approach AI and solve some of the most complex problems in the world.