Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence
eBook - ePub

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

A Systems Methodology

  1. 398 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

A Systems Methodology

Book details
Table of contents
Citations

About This Book

Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques.

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI.

This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques.

The recent developments and emergence of Chatbots (AI tools) all have mathematical foundations for their efficacy. Such AI tools include ChatGPT, GPT-4, Bard, Tidio Support Bot, Kuki AI Companion, Meena, BlenderBot, Rose AI Chatbot, Replika: AI Friend, Eviebot, and Tay. This handbook highlights the importance of mathematical and digital foundations for AI developments. The handbook will enhance the understanding and appreciation of readers about the prevailing wave of artificial intelligence products, and, thereby, fitting the current market needs.

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Yes, you can access Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence by Adedeji B. Badiru, Olumuyiwa Asaolu in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000899672
Edition
1
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. Preface
  9. Acknowledgments
  10. Authors
  11. 1 Artificial Intelligence within Industrial and Systems Engineering Framework
  12. 2 Mathematics of Cantor Set for AI Searches
  13. 3 Set-theoretic Systems for AI Applications
  14. 4 AI Mathematical Modeling for Product Design
  15. 5 Mathematical Formulation of the Pursuit Problem for AI Gaming
  16. 6 AI Framework for the Financial Sector
  17. 7 AI Neuro-Fuzzy Model for Healthcare Prediction
  18. 8 Stochasticity in AI Mathematical Modeling
  19. 9 Mathematical Utility Modeling for AI Application
  20. 10 Artificial Intelligence and Human Factors Integration in Additive Manufacturing
  21. 11 AI Systems Optimization Techniques
  22. 12 Mathematical Modeling and Control of Resource Constraints
  23. Appendix A: Mathematical Expressions and Collections (Series, Patterns, and Formulae)
  24. Appendix B Cantor Set Sectioning