Ahmed Banafa

Introduction to Artificial Intelligence (AI) (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 13. Mai 2024
• Englisch
• ISBN-13: 9781040094860
• Artikelnr.: 70301994

Autorenporträt

Professor Ahmed Banafa is a distinguished expert in IoT, Blockchain, Cybersecurity, and AI with a strong background in research, operations, and management. He has been recognized for his outstanding contributions, receiving the Certificate of Honor from the City and County of San Francisco, the Haskell Award for Distinguished Teaching from the University of Massachusetts Lowell, and the Author & Artist Award from San Jose State University. LinkedIn named him the No.1 tech voice to follow in 2018, acknowledging his predictive insights and influence. His groundbreaking research has been featured in renowned publications like Forbes, IEEE, and the MIT Technology Review. Prof. Banafa is an accomplished author known for impactful books. His work ""Secure and Smart Internet of Things (IoT) using Blockchain and Artificial Intelligence (AI)"" earned him the San Jose State University Author and Artist Award and recognition as one of the Best Technology Books of All Time and Best AI Models Books of All Time. His book on ""Blockchain Technology and Applications"" also received acclaim and is integrated into curricula at prestigious institutions like Stanford University. Additionally, he has contributed significantly to quantum computing through his third book, and he is preparing to release his fourth book on artificial intelligence in 2023. Prof. Banafa's educational journey includes cybersecurity studies at Harvard University and digital transformation studies at the Massachusetts Institute of Technology (MIT), culminating in a Master's Degree in Electrical Engineering and a Ph.D. in Artificial Intelligence.

Inhaltsangabe

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