AI Terms and Technologies
Below is a simplified explanation of some of the key terms and technologies related to Artificial Intelligence.
Click each title to expand it.
Do you agree with the definitions?
The ability to acquire and apply knowledge.
The ability to acquire knowledge
A branch of computer science dealing with the simulation of intelligent behaviour in computers.
The capability of a machine to imitate intelligent behaviour.
The process by which a computer is able to improve its own performance (as in analysing image files) by continuously incorporating new data into an existing statistical model
A computer architecture in which a number of processors are interconnected in a manner suggestive of the connections between neurons in a human brain and which is able to learn by a process of trial and error.
A computer program designed to simulate conversation with human users, especially over the internet.
Natural language processing (NLP) refers to the automatic computational processing of human languages.
So an algorithm that has text written by a human as an input, or an algorithm that produces text which looks like it was written by a human, as an output would both be examples of NLP.
Activity
Read through the list of key terms above, are there any that you disagree with? Which ones would you expand upon? Add your thoughts to the discussion.
Practical Applications
There are lots of practical tips and resources in our AI@School curriculum and toolkit.
Here’s one of our favourites;