AI Technologies Definitions

Search Definitions
  • A

    adversarial machine learning

    Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input.

  • AgentGPT

    AgentGPT is a generative artificial intelligence tool that enables users to create autonomous AI agents that can be delegated a range of tasks.

  • AI art (artificial intelligence art)

    AI art (artificial intelligence art) is any form of digital art created or enhanced with AI tools.

  • AI prompt

    An artificial intelligence (AI) prompt is a mode of interaction between a human and a large language model that lets the model generate the intended output.

  • AI red teaming

    AI red teaming is the practice of simulating attack scenarios on an artificial intelligence application to pinpoint weaknesses and plan preventative measures.

  • AI watermarking

    AI watermarking is the process of embedding a recognizable, unique signal into the output of an artificial intelligence model, such as text or an image, to identify that content as AI generated.

  • Amazon Bedrock (AWS Bedrock)

    Amazon Bedrock -- also known as AWS Bedrock -- is a machine learning platform used to build generative artificial intelligence (AI) applications on the Amazon Web Services cloud computing platform.

  • ambient intelligence (AmI)

    Ambient intelligence, sometimes referred to as AmI, is the element of a pervasive computing environment that enables it to interact with and respond appropriately to the humans in that environment.

  • anomaly detection

    Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.

  • artificial general intelligence (AGI)

    Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution.

  • artificial intelligence (AI) governance

    Artificial intelligence governance is the legal framework for ensuring AI and machine learning technologies are researched and developed with the goal of helping humanity adopt and use these systems in ethical and responsible ways.

  • artificial superintelligence (ASI)

    Artificial superintelligence (ASI) is a software-based system with intellectual powers beyond those of humans across a comprehensive range of categories and fields of endeavor.

  • assistive technology (adaptive technology)

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

  • augmented intelligence

    Augmented intelligence is the use of technology to enhance a human's ability to execute tasks, perform analysis and make decisions.

  • automated machine learning (AutoML)

    Automated machine learning (AutoML) is the process of applying machine learning (ML) models to real-world problems using automation.

  • autonomous artificial intelligence (autonomous AI)

    Autonomous artificial intelligence (AI) is a branch of AI in which systems and tools are advanced enough to act with limited human oversight and involvement.

  • What is artificial intelligence (AI)? Everything you need to know

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

  • B

    backpropagation algorithm

    Backpropagation, or backward propagation of errors, is an algorithm that is designed to test for errors working back from output nodes to input nodes.

  • BERT language model

    BERT language model 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.

  • chain-of-thought prompting

    Chain-of-thought prompting is a prompt engineering technique that aims to improve language models' performance on tasks requiring logic, calculation and decision-making by structuring the input prompt in a way that mimics human reasoning.

  • clustering in machine learning

    Clustering is a data science technique in machine learning that groups similar rows in a data set.

  • cognitive computing

    Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers might 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 represents a new generation of enterprise search that uses artificial intelligence (AI) technologies to improve users' search queries and extract relevant information from multiple diverse data sets.

  • computational linguistics (CL)

    Computational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language.

  • conversational AI (conversational artificial intelligence)

    Conversational AI (conversational artificial intelligence) is a type of AI that enables computers to understand, process and generate human language.

  • convolutional neural network (CNN)

    A convolutional neural network (CNN) is a category of machine learning model, namely a type of deep learning algorithm well suited to analyzing visual data.

  • D

    Dall-E

    Dall-E is a generative AI technology that enables users to create new images with text to graphics prompts.

  • data dignity

    Data dignity, also known as data as labor, is a theory positing that people should be compensated for the data they have created.

  • 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 and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge.

  • deep tech

    Deep technology, or deep tech, refers to advanced technologies based on some form of substantial scientific or engineering innovation.

  • dropout

    Dropout refers to data, or noise, that's intentionally dropped from a neural network to improve processing and time to results.

  • F

    face detection

    Face detection, also called facial detection, is an artificial intelligence (AI)-based computer technology used to find and identify human faces in digital images and video.

  • fine-tuning

    Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set.

  • Fréchet inception distance (FID)

    Fréchet inception distance (FID) is a metric for quantifying the realism and diversity of images generated by generative adversarial networks (GANs).

  • fuzzy logic

    Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

  • G

    Gemma

    Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.

  • 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 Gemini (formerly Bard)

    Google Gemini -- formerly called Bard -- is an artificial intelligence (AI) chatbot tool designed by Google to simulate human conversations using natural language processing (NLP) and machine learning.

  • GPT-3

    GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text.

  • graph neural networks (GNNs)

    Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a graph's nodes and edges.

  • What is generative AI? Everything you need to know

    Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.

  • 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 digital images.

  • image-to-image translation

    Image-to-image translation is a generative artificial intelligence (AI) technique that translates a source image into a target image while preserving certain visual properties of the original image.

  • inception score (IS)

    The inception score (IS) is a mathematical algorithm used to measure or determine the quality of images created by generative AI through a generative adversarial network (GAN).

  • 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

    LangChain

    LangChain is an open source framework that lets software developers working with artificial intelligence (AI) and its machine learning subset combine large language models with other external components to develop LLM-powered applications.

  • language modeling

    Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Language models analyze bodies of text data to provide a basis for their word predictions.

  • lemmatization

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

  • M

    machine learning bias (AI bias)

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

  • machine translation

    Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms.

  • machine vision

    Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion and digital signal processing.

  • multimodal AI

    Multimodal AI is artificial intelligence that combines multiple types, or modes, of data to create more accurate determinations, draw insightful conclusions or make more precise predictions about real-world problems.

  • N

    narrow AI (weak AI)

    Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose.

  • natural language generation (NLG)

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

  • natural language processing (NLP)

    Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language.

  • natural language understanding (NLU)

    Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech.

  • neural radiance field (NeRF)

    Neural radiance fields (NeRF) are a technique that generates 3D representations of an object or scene from 2D images by using advanced machine learning.

  • 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.

  • O

    OpenAI

    OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.

  • R

    reinforcement learning

    Reinforcement learning is a machine learning training method based on rewarding desired behaviors and punishing undesired ones.

  • retrieval-augmented generation

    Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources.

  • 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 stem that affixes to suffixes and prefixes or to the roots of words known as "lemmas."

  • 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.

  • T

    transformer model

    A transformer model is a neural network architecture that can automatically transform one type of input into another type of output.

  • 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.

  • 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.

  • 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.

  • vector embeddings

    Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types.

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