If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The term artificial intelligence (AI) is thrown around in many contexts, especially in the tech industry. However, many people (including those in IT) don't actually understand what AI is, let alone the challenges and opportunities it presents. This is the first in a series of "AI for Dummies" blogs where I'll share the basics of all things AI. As computer systems become ever more capable of performing the tasks that traditionally are staffed by humans, this evolution will affect nearly every industry. In the short term, there will be positions that are replaced by machines that lead to job loss.
We all see the term artificial intelligence (AI) thrown around in many contexts. AI is a buzzword in the tech industry in particular. However, many people (including those in IT) don't actually understand what AI is nor the challenges and opportunities it presents. Today, I'm beginning a series of blogs to share the basics of all things AI. As computer systems become ever more capable of performing the tasks that traditionally are staffed by human employees, the evolution will affect nearly every industry.
Back in the days when "Bubbles," the liquid-cooled Cray 2, was the fastest supercomputer in the world and before LISP was the programming language of choice in Marvin Minsky's new AI Lab at the Massachusetts Institute of Technology, the pioneers of artificial intelligence (AI) had lofty goals. They believed that AI would eventually give machines the same thinking capabilities as humans. While some question whether machines will ever be able to think in exactly the same way as humans, machine learning and other AI techniques already enable machines to assist humans with complex tasks such as forecasting and reduce the need for people to undertake trivial repetitive tasks. Endowing computers with human-like intelligence has been the holy grail of computer experts since the dawn of electronic computing. Although the term artificial intelligence was not coined until 1956, the roots of the field go back to at least the 1940s, and the idea of AI was crystalized in Alan Turing's famous 1950 paper, "Computing Machinery and Intelligence."