1st Edition

Transformative AI Responsible, Transparent, and Trustworthy AI systems

By Ahmed Banafa Copyright 2024
172 Pages 51 Color Illustrations
by River Publishers

172 Pages 51 Color Illustrations
by River Publishers

Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and... Read more

1. What is AI

2. Neural Networks

3. Natural Language Processing (NLP)

4. Computer Vision

5. Levels of AI

6. Generative AI and Other Types of AI

7. Generative AI: Types, Skills, Opportunities and Challenges

8. Intellectual Abilities of Artificial Intelligence (AI)

9. Narrow AI vs. General AI vs. Super AI

10. Understanding The Psychological Impacts of Using AI

11. Ethics in AI

12. AI and Robotics

13. AI and Autonomous Cars

14. Quantum Computing and AI: A Transformational Match

15. Blockchain and AI: A Perfect Match?

16. First Line of Defense for Cybersecurity: AI

17. IoT, AI and Blockchain: Catalysts for Digital Transformation

18. AI is the Catalyst of IoT

19. AI and Cloud Computing

20. Your Computer Will Feel Your Pain

21. What is Autonomic Computing?

22. What is Affective Computing?

23. Quantum Machine Learning (QML)

24. Applications of ChatGPT

25. AI and the Future of Work

26. New AI, New Jobs!

Biography

Professor Ahmed Banafa has extensive experience in research, operations and management, with a focus on IoT, Blockchain, Cybersecurity and AI. He is the recipient of a Certificate of Honor from the City and County of San Francisco, the Haskell Award for Distinguish Teaching from University of Massachusetts Lowell, and Author & Artist Award of San Jose State University. He was named as No.1 tech voice to follow, technology fortune teller and influencer in 2018 by LinkedIn, his research has featured in Forbes and IEEE and MIT Technology Review, and he has been interviewed by ABC, CBS, NBC, CNN, BBC, NPR, NHK, FOX, and the Washington Post. He is a member of the MIT Technology Review Global Panel. He is the author of the book: "Secure and Smart Internet of Things (IoT) using Blockchain and Artificial Intelligence (AI)" which won three awards: San Jose State University Author and Artist Award, One of the Best Technology Books of all Time Award, and One of the Best AI Models Books of All Time Award. His second book was "Blockchain Technology and Applications" which won San Jose State University Author and Artist, One of the Best New Private Blockchain Books and has been used at Stanford University and other prestigious schools in the USA. Another book, "Quantum Computing" is forthcoming in 2023. He studied Electrical Engineering at Lehigh University, Cybersecurity at Harvard University and Digital Transformation at Massachusetts Institute of Technology (MIT).