Transformative AI

Responsible, Transparent, and Trustworthy AI systems
1. Auflage 2024
ISBN: 978-87-7004-019-8
Verlag: River Publishers

Buch, Englisch, 172 Seiten, Format (B × H): 242 mm x 162 mm, Gewicht: 424 g

Reihe: River Publishers Series in Computing and Information Science and Technology

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 domains, such as healthcare, finance, education, and entertainment.

The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.

The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.

Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.

Zielgruppe

Postgraduate and Professional Practice & Development

Autoren/Hrsg.

Banafa, Ahmed

Fachgebiete

• Naturwissenschaften Physik Mechanik Energie
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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!

Über Autor(innen)

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).