AI technologies Definitions

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  • A

    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 intelligence

    Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

  • 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.

  • augmented memory

    Augmented memory is the practice of artificially increasing a person's ability to produce long term memories and retain information.

  • automated storytelling

    Automated storytelling is a process involving the use of artificial intelligence (AI) to create written stories.

  • B

    BERT language model

    BERT is an open source machine learning framework for natural language processing (NLP).

  • C

    case-based reasoning (CBR)

    Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems.

  • 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.

  • cognitive search

    Cognitive search is a new generation of enterprise search that uses artificial intelligence technologies to improve users' search queries and extract relevant information from multiple, diverse data sets.

  • 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 learning is a type of machine learning (ML) and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. At its simplest, deep learning can be thought of as a way to automate predictive analytics.

  • 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.

  • Dialogflow

    Dialogflow is a natural language processing (NLP) platform that can be used to build conversational applications and experiences for a company’s customers in various languages and on multiple platforms.

  • 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

    language modeling

    Language modeling (LM) is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence.

  • 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.

  • motion analysis

    Motion analysis is a measuring technique used in computer vision, image processing and high-speed photography applications to detect movement.

  • 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.

  • natural language generation (NLG)

    Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narrative from a dataset.

  • natural language understanding (NLU)

    Natural language understanding (NLU) is a branch of artificial intelligence (AI) that works to use computers to understand input made in the form of sentences in text or speech format.

  • neuromorphic computing

    Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system.

  • P

    predictive modeling

    Predictive modeling is a process that uses data mining and probability to forecast outcomes.

  • R

    robo-advisor

    A robo-advisor is an artificial intelligence (AI) driven virtual financial advisor. Robo-advisors are a type of expert system optimized for financial services.

  • 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.

  • stemming

    Stemming is the process of reducing a word to its word stem that affixes to suffixes and prefixes or to the roots of words known as a lemma. Stemming is important in natural language understanding (NLU) and natural language processing (NLP).

  • supervised learning

    Supervised learning, in the context of artificial intelligence (AI) and machine learning, is a type of system in which both input and desired output data are provided.

  • T

    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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