Narrow Artificial Intelligence: Fundamentals and Applications
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What Is Narrow Artificial Intelligence
The term "weak artificial intelligence" refers to AI that only incorporates a small portion of the mind or, alternatively, AI that is just focused on doing a single specific task. According to John Searle, it "would be useful for testing hypotheses about minds, but would not actually be minds". Artificial intelligence that isn't very strong attempts to replicate how humans carry out simple tasks such as memorizing information, sensing its surroundings, and finding solutions to straightforward issues. Strong artificial intelligence, on the other hand, makes use of technology in order to be able to think and learn on its own. It is possible for computers to build their own ways of thinking in a manner similar to that of humans by making use of technologies such as algorithms and past knowledge. Artificial intelligence systems that are very advanced are currently learning how to function without the assistance of the humans who first developed them. Weak artificial intelligence is unable to think for itself; all it can do is mimic the physical actions it can observe and learn from.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Weak artificial intelligence
Chapter 2: Artificial intelligence
Chapter 3: Chatbot
Chapter 4: Machine learning
Chapter 5: Intelligent agent
Chapter 6: History of artificial intelligence
Chapter 7: Applications of artificial intelligence
Chapter 8: Turing test
Chapter 9: Glossary of artificial intelligence
Chapter 10: Explainable artificial intelligence
(II) Answering the public top questions about narrow artificial intelligence.
(III) Real world examples for the usage of narrow artificial intelligence in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of narrow artificial intelligence' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of narrow artificial intelligence.
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Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterâs degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010.
Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.
