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.

  • E

    expert system

    An expert system is a program that uses artificial intelligence (AI) technologies to simulate the knowledge and judgment of humans. Expert systems usually include a subject-specific knowledge base and can have additional modules added to expand their capacities.

  • F

    facial recognition

    Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint. The software uses deep learning algorithms to compare a live capture or digital image to the stored faceprint in order to verify an individual's identity.

  • fuzzy logic

    Fuzzy logic is an attempt to use more human-like reasoning and better reflect reality through employing"degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

  • G

    generative adversarial network (GAN)

    A generative adversarial network (GAN) is a type of AI machine learning (ML) technique made up of two nets that are in competition with one another in a zero-sum game framework.

  • generative modeling

    Generative modeling is the use of artificial intelligence (AI), statistics and probability in applications to produce a representation or abstraction of observed phenomena or target variables that can be calculated from observations.

  • Google AutoML Vision

    Google AutoML Vision is a machine learning model builder for image recognition, offered as a service from Google Cloud.

  • I

    IBM Watson supercomputer

    Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a 'question answering' machine.

  • image recognition

    Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images.

  • K

    knowledge engineering

    Knowledge engineering is a field of artificial intelligence (AI) that tries to emulate the judgment and behavior of a human expert in a given field.

  • L

    laboratory robotics

    Laboratory robotics is the practice of using robots to perform or assist in laboratory tasks. While laboratory robots have found applications in diverse industries and sciences, pharmaceutical companies have used them more than any other group.

  • lemmatization

    Lemmatization is the grouping together of different forms of the same word.

  • M

    machine learning (ML)

    Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

  • machine learning bias (algorithm bias or AI bias)

    Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process.

  • machine vision (computer vision)

    Machine vision, which is the ability of a computer to see, employs one or more video cameras, analog-to-digital conversion (ADC) and digital signal processing (DSP). The resulting data goes to a computer or robot controller. Machine vision is similar in complexity to voice recognition.

  • N

    artificial neural network (ANN)

    In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain.

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