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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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Toc

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 2 – education – student strategy prediction

The education sector is rapidly advancing and embracing new technologies to enhance the learning experience for students. AI is revolutionizing education by providing a more engaging, personalized learning experience for students. AI allows educators to tailor learning plans to each student’s needs and abilities, leading to more effective and personalized instruction. By utilizing AI, educators can personalize instruction, provide real-time feedback, and analyze data to improve educational outcomes. Furthermore, AI can assist with administrative tasks such as grading and course planning, allowing teachers to focus on their primary role of instruction. By integrating AI into the education industry, we can expect improved student outcomes and increased efficiency in delivering education.

Application details

Shakya, A., Rus, V., and Venugopal, D. (2021). Student Strategy Prediction Using a Neuro-Symbolic...

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