Enterprise Artificial Intelligence Definitions
This glossary explains the meaning of key words and phrases that information technology (IT) and business professionals use when discussing artificial intelligence and related software products. You can find additional definitions by visiting WhatIs.com or using the search box below.
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R
robot economy
The robot economy is a scenario in which most of the labor required to sustain human life is automated.
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robotic surgery (robot-assisted surgery)
Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medical procedures.
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S
self-driving car (autonomous car or driverless car)
A self-driving car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator.
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singularity
In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible.
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social robot
A social robot is an artificial intelligence (AI) system that is designed to interact with humans and other robots.
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stemming
Stemming is the process of reducing a word to its stem that affixes to suffixes and prefixes or to the roots of words known as "lemmas."
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supervised learning
Supervised learning is an approach to creating artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.
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sustainable AI
Sustainable AI is the use of artificial intelligence systems that operate in ways contingent with sustainable business practices.
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T
telepresence robot
A telepresence robot is a remote-controlled, wheeled device that has wireless internet connectivity.
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transformer model
A transformer model is a neural network architecture that can automatically transform one type of input into another type of output.
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Turing Test
A Turing Test is a method of inquiry in artificial intelligence (AI) for determining whether or not a computer is capable of thinking like a human being.
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U
unsupervised learning
Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.
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V
variational autoencoder (VAE)
A variational autoencoder (VAE) is a generative AI algorithm that uses deep learning to generate new content, detect anomalies and remove noise.
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vector embeddings
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types.