AI technologies Definitions

  • A

    AI (artificial intelligence)

    AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

  • android (humanoid robot)

    Android (robot) definition: An android is a robot that is designed to look like a human, either in its basic form or so closely it could almost be mistaken for a person.

  • artificial personality (AP)

    An artificial personality (AP) is a collection of characteristics, tendencies and behavioral quirks assigned to a chatbot, digital assistant, robot or video game character.

  • assistive technology (adaptive technology)

    Assistive technology is a set of devices intended to help people who have disabilities.

  • C

    cognitive computing

    Cognitive computing systems use computerized models to simulate the human cognition process to find solutions in complex situations where the answers may be ambiguous and uncertain.

  • cognitive modeling

    Cognitive modeling is an area of computer science that deals with simulating human problem-solving and mental processing in a computerized model.

  • complex adaptive system (CAS)

    Complex adaptive system is a term used by DevOps teams to describe an IT platform or project composed of multiple components that interact in ways that cannot be predicted or controlled with complete accuracy.

  • computational linguistics (CL)

    Computational linguistics is the application of computer science to the analysis, synthesis, and comprehension of written and spoken language. Computers that are linguistically competent not only help facilitate human interaction with machines and software, but also make the textual and other resources of the internet readily available in multiple languages.

  • D

    deconvolutional networks (deconvolutional neural networks)

    Deconvolutional networks are convolutional neural networks (CNN) that work in a reversed process.

  • deep learning (deep neural network)

    Deep learning is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain certain types of knowledge.

  • deep learning agent

    A deep learning agent is any autonomous or semi-autonomous AI-driven system that uses deep learning to perform and improve at its tasks.

  • I

    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.

  • intelligent agent

    An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences.

  • 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

    lemmatization

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

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