Attempting to Define Intelligence

Attempting to define intelligence

Intelligence is a concept that eludes us to this very day. Understanding it has haunted mankind for the better part of its existence, and today this curiosity has been refined and reshaped into a field of its own dubbed “Artificial Intelligence” (AI).

Natural Language Processing (NLP) is a subdomain of AI that combines intelligence and language benefiting from a multitude of applicable machine learning and deep learning techniques to help machines become “smarter” and manipulate language with ease as humans do. While NLP promises to be one of the leading frontiers of AI for the coming years, it is important to assess the following questions: Are machines ready to become smart? How smart are they capable of becoming? Are they going to be smart enough to help me?

There are two leading intuitive ways of thinking about AI and knowledge transfer:

1. Possession of large amounts of information (data) regarding a certain topic and falling back on this data to make informed decisions in an automated fashion.
2. A rule-based system whereby the decision-making process is derived by going through a series of conditions and testing their validity. The conditions are structured in a business context.