According to Gartner's survey of over 3,000 CIOs, Artificial intelligence (AI) was by far the most mentioned technology and takes the spot as the top game-changer technology away from data and analytics, which is now occupying a second place. AI is set to become the core of everything humans are going to be interacting with in the forthcoming years and beyond. Robots are programmable entities designed to carry out a series of tasks. When programmers embed human-like intelligence, behavior, emotions, and even when they engineer ethics into robots we say they create robots with an embedded Artificial Intelligence that is able to mimic any task a human can perform, including debating, as IBM showed earlier this year at CES Las Vegas. IBM has made a human-AI debate possible through its Project Debater, aimed at helping decision-makers make more informed decisions.
In this era of technology, artificial intelligence is conquering over all the industries and domains, performing tasks more effectively than humans. Like in sci-fi movies, a day will come when world would be dominated by robots. Artificial intelligence is surrounded by jargons like narrow, general, and super artificial intelligence or by machine learning, deep learning, supervised and unsupervised learning or neural networks and a whole lot of confusing terms. In this article, we will talk about artificial intelligence and its three main categories. The term AI was coined by John Mccarthy, an American computer scientist in 1956.
Let's start at the beginning. Why do we even need this term? Over several decades of trying and failing (badly), the original vision was largely abandoned. Nowadays almost all AI work relates to narrow, domain-specific, human-designed capabilities. Powerful as these current applications may be, they are limited to their specific target domain, and have very narrow (if any) adaptation or interactive learning ability.
The age of AI is upon us; in many ways, it's engulfing us. We're overwhelmed with information, articles and opinions on AI. Experts and non-experts alike are attempting to envision a future driven by the rise of this exponential technology. Because of the constant flow of information on AI, it's becoming increasingly difficult to pinpoint what exactly AI is. Few of us are able to actually define artificial intelligence.
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. If you're living on this planet, you probably hear a lot about Artificial Intelligence these days. It's conquering every industry and domain, performing tasks more efficiently than humans, will put humans out of work, and may one day force humans into slavery. You might have also heard about narrow, general and super artificial intelligence, or about machine learning, deep learning, reinforced learning, supervised and unsupervised learning, neural networks, Bayesian networks and a whole lot of other confusing terms. That's a lot of jargon to cover in one post, and we'll leave the learning stuff for another day.