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Neuro-Symbolic AI

Neuro-Symbolic AI

By : Alexiei Dingli, David Farrugia
3.7 (6)
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Neuro-Symbolic AI

Neuro-Symbolic AI

3.7 (6)
By: Alexiei Dingli, David Farrugia

Overview of this book

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.
Table of Contents (12 chapters)
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The Evolution and Pitfalls of AI

Artificial intelligence (AI) is considered by many as the new kid on the block, but in reality, it’s more of an elderly person. Significantly, few people realize that the AI drive we’re experiencing today started around the Second World War. Back then, people such as Vannevar Bush, John von Neumann, and Claude Shannon were very much toying with different ideas that eventually led to the creation of today’s modern computers. However, it was Alan Turing, the famous British mathematician, who, after using a rudimentary computer during the war, started visualizing the potential of AI. After the Second World War, many other scientists came on board and eventually created the field of AI. The initial drive was toward using algorithms capable of manipulating symbols (such as alphanumeric characters) but eventually, these techniques hit a brick wall. In the past three decades, we have seen a steady shift toward a different kind of AI, called...

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