Introduction to Artificial Intelligence (AI)
About this ebook
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 AI and understand the impact that this transformative technology will have on our lives in the coming years.
About the author
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.
