Neural networks and deep learning Definitions

  • A

    artificial intelligence

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

  • 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.

  • C

    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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • P

    predictive modeling

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

  • 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.

  • 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.

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