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Artificial Intelligence Simplified

To learn more, check out my publication with apress on this topic.

The definition of Artificial Intelligence has evolved ever since its first reference in 1956 at the Dartmouth conference. From emulating how the human brain works to solving focused, complex problems, doing all that a human can do like see, hear, communicate, act, learn, perceive, think, decide, demonstrate emotion and compassion or interact with the environment and responding in a context. The recent AI breakthroughs with vision, language recognition, and self-driving vehicles changed the way we perceive AI today. Given below is a simple and informal definition of Artificial Intelligence.

Artificial Intelligence (AI) as a broad umbrella term can be defined as field of computer science that involves enabling computers to behave like humans or perform tasks that usually requires human intelligence.

The purpose of Artificial Intelligence systems has been evolving. In this section, we will cover different types of Artificial Intelligence systems that have been categorized based on its core purpose. We can also observe how these different types of AI systems signify a step towards building smarter systems.

The diagram below lists different types of Artificial Intelligence:

1. Reactive Machines AI was the first kind of AI t. These machines do not have memory and do not use information from experience. In these machines, the current context is directly perceived as it is and is put into action. This makes the computer behave precisely the same way every time it encounters a situation. The benefit of this is a reliable and consistent