Narrow Artificial Intelligence: Fundamentals and Applications

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.