The term ‘Artificial Intelligence’ (‘AI’) was first used by Dartmouth College’s John McCarthy in 1956. There are several accepted definitions. One of the simplest (from Merriam-Webster) is: “The capability of a machine to imitate intelligent human behavior” (although some would suggest that “intelligent human behavior” is a rather rare commodity). In fact, AI has now gone far further than just imitating human behavior – what it has done is to start by replicating the behavior, and then to learn to perform far better than any human can.
Some of the tasks that AI can now perform better than most (if not all) humans include:
- Visual perception (e.g. facial recognition, diagnostic imaging)
- Decision-making (e.g. autonomous vehicle operation)
- Language translation (starting in 1954 with English to Russian, and now encompassing over 100 languages)
- Game-playing (Chess in 1996 by IBM’s Deep Blue, Jeopardy in 2011 by IBM’s Watson, GO in 2016 by Google’s AlphaGo)
- General learning (e.g. selecting personal preferences)
AI involves software that implements a number of complex algorithms that may include processing massive amounts of data. It is used to control moving, physical devices, and these applications are referenced in this website as either Robotics (i.e. ground) or Drone (more precisely, Unmanned Aerial Vehicle) Technologies.
AI impacts almost every job in every industry; so, in this technology section of the website, separate pages are assigned to those industries that are most impacted currently:
- Transport (Autonomous Vehicles only)
This page includes videos and articles that relate to AI generally, and applications that do not fall into the four separate pages.
LEARN FROM THESE YOUTUBE VIDEOS
... AND LEARN MORE FROM THESE ADDITIONAL VIDEOS
Regulating AI may be premature, and should be sector-specific (AI – 2018-03 – ZDNet)
Getting started with artificial intelligence and machine learning (AI – 2018-02 – ZDNet)
Google CEO Sundar Pichai interview at the 2018 World Economic Forum (AI – 2018-01 – World Economic Forum)
Richard Dawkins: Why AI might run the world better than humans (AI – 2017-09 – Big Think)
REVIEW THESE INFORMATIVE ARTICLES - AND READ THOSE THAT INTEREST YOU
Examples of AI advances in various industries (AI - 2018-11 - Zeitguide)
A flowchart to determine what is and is not AI (AI - 2018-11 - MIT Technology Review)
Machine learning in its infancy (AI - 2018-11 - TechCrunch)
90% of firms already using AI to boost customer experience and increase revenue (AI - 2018-11 - TechRepublic.com)
What is Machine Learning (AI - 2018-11 - MIT Technology Review)
WeChat enables a cashless society in China (AI - 2018-11 - Stansberry Research)
20 terrifying uses of AI (AI - 2018-08 - TechRepublic)
AI is replacing white collar office jobs: 3 Case Studies (AI - 2018-07 - TechRepublic)
Everything you need to know about Machine Learning (AI - 2018-05 - ZDNet)
A comprehensive guide to machine learning, including a definition, its relation to AI, the main types (supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning), neural networks, deep learning, its success and uses, AlphaGo, inherent bias, best courses, and online services.