Neuro-Symbolic AI
Packt Publishing Limited (Verlag)
978-1-80461-762-5 (ISBN)
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 DescriptionNeuro-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 forThis 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.
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.
Table of Contents
The Evolution and Pitfalls of AI
The Rise and Fall of Symbolic AI
The Neural Networks Revolution
The Need for Explainable AI
Introducing Neuro-Symbolic AI: The Next Level of AI
A Marriage of Neurons and Symbols: Opportunities and Obstacles
Applications of Neuro-Symbolic AI
Neuro-Symbolic Programming in Python
The Future of AI
| Erscheinungsdatum | 20.07.2023 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-80461-762-8 / 1804617628 |
| ISBN-13 | 978-1-80461-762-5 / 9781804617625 |
| Zustand | Neuware |
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