5 AI Technology Terms You Really Need to Know
In analysis / By Mark Flynn / 17 July 2018
Artificial intelligence is the buzz word in the industry at the moment. However, there is a great deal of confusion due to the wide variety of terms being bandied around to describe it. Anything from machine learning to deep learning and robots etc. Therefore, in this article I intend to clear up the confusion, cut through all the jargon and describe what each of the terms actually means.
AI has been a dream of humanity since antiquity as detailed in stories such as Talos an ancient Greek defence robot, but the true study of AI stared at Dartmouth College in 1956.
In business today, AI is used to describe a range of software designed to learn and then take actions based on data given to it previously.
Physical AI also goes by the name of Autonomous things (AuT) or the Internet of autonomous things (IoAT). This type of AI can be found making decisions in the real world rather than in a computer. Drones are the most obvious use of this type of AI, an example is flying delivery drones. Another application which may have an even greater economic impact is the automation of delivery trucks.
Chatbots, or conversational AI, are an interesting and highly focused kind of AI specialising in talking to people. Chatbots work by recognising keywords and phrases and then responding to what has been said. Chatbots are most often used in customer service either through auditory or textual methods to help form a bond between the customer and the company. An interesting example is chatbot lawyer, DoNotPay which was used to overturn parking ticket fines but also helps asylum seekers.
Machine Learning is often characterised as ‘dumb AI’ but in my opinion it is better to think of it as AI that specialises in data mining and prediction. By learning from the data, machine learning can then go on to make predictions. This is the kind of AI that is used mostly in email filter systems for example. An interesting example of this comes from when Netflix launched a competition to find a machine learning program that would allow them to better predict user preferences.
Robot or autonomous AI looks to save you time by taking care of manual intensive work. In layman’s terms, a robot can do anything a person can and much quicker, but it is not intelligent, it simply follows a script. Robots are very good at response handling and screening. They are very good at gathering data and are not limited to 9 to 5 or sickness.
Finally, we have Deep Learning, which are systems inspired by the human brain. Each layer in a deep learning system will either alter the input or be looking for something different in order to gather the most amount of information from what it is looking at. An example of this is the Drive PX system which uses deep learning to recognise what hazards on the road actually are and then help the car respond appropriately.