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Artificial Intelligence (AI) Glossary

Our glossary can help you get ready for an MSc in Artificial Intelligence with simple definitions of common terms in the industry.

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Key definitions for Artificial Intelligence professionals

Neural networks Grey

 

A series of algorithms created to mimic the workings of the human brain and identify underlying relationships in a set of data.

Deep learning Grey

 

A machine learning method based on artificial neural networks in which several layers of processing are used to extract increasingly detailed insights from data.

Generative adversarial networks Grey

 

A machine learning method in which two neural networks work together to generate new, synthetic data that resembles real data produced by humans.

Natural language processing Grey

 

A branch of artificial intelligence focused on improving the ability of computers to analyse, understand, and utilise human language.

Computer vision Grey

 

A branch of artificial intelligence focused on enabling computers to extract meaningful information from digital images or videos.

Pattern recognition Grey

 

A data analysis method that uses machine learning to automatically identify patterns, trends, or similarities in data.

Multi-agent system (MAS) Grey

 

A computerised system consisting of multiple software components (or ‘agents’) that interact to solve problems beyond their individual capacity.

The Internet of Things (IoT) Grey

 

A term used to describe the billions of physical devices around the world – from laptops to smart alarms – that are connected to the internet and exchanging data.

MSc in Artificial Intelligence

Build a career that’s future-proofedAdvance your knowledge of artificial intelligence and master its application to businesses across different fields and sectors. 

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