AI Technologies Definitions

Search Definitions
  • A

    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.

  • 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.

  • assistive technology (adaptive technology)

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

  • automated machine learning (AutoML)

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

  • What are AI agents?

    AI agents are autonomous intelligent systems powered by artificial intelligence (AI) and designed to perform specific tasks independently, without the need for human intervention.

  • What are autonomous AI agents and which vendors offer them?

    Autonomous artificial intelligence (AI) agents are intelligent systems that can perform tasks for a user or system without human intervention.

  • What is adversarial machine learning?

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

  • What is AgentGPT?

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

  • What is agentic AI? Complete guide

    Agentic AI refers to artificial intelligence systems that are capable of autonomous action and decision-making.

  • What is AI art and how is it created?

    Artificial intelligence art (AI art) is any form of art that has been created or enhanced with AI tools.

  • What is 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.

  • What is AI? Artificial Intelligence explained

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

  • What is 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.

  • What is an AI accelerator?

    An AI accelerator is a type of hardware device that can efficiently support AI workloads.

  • What is an AI prompt?

    An artificial intelligence (AI) prompt is the input submitted to a large language model (LLM) via a generative AI platform, like OpenAI's ChatGPT or Microsoft Copilot.

  • What is an autoregressive model?

    An autoregressive model is a category of machine learning models in which algorithms predict future data based on a series of their own past data.

  • What is anomaly detection? An overview and explanation

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

  • What is 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.

  • What is 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.

  • What is artificial superintelligence (ASI)?

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

  • What is augmented intelligence?

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

  • What is 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.

  • B

    BERT language model

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

  • What is a backpropagation algorithm?

    A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models.

  • What is Bayes' theorem? How is it used in machine learning?

    Bayes' theorem is a mathematical formula used in probability theory to calculate conditional probability, i.e., the revised likelihood of an outcome occurring given the knowledge of a related condition or previous outcome.

  • 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 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.

  • What is a convolutional neural network (CNN)?

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

  • What is chain-of-thought prompting (CoT)? Examples and benefits

    Chain-of-thought (CoT) 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.

  • What is clustering in machine learning and how does it work?

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

  • What is computational linguistics? Definition and career info

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

  • What is conversational AI (conversational artificial intelligence)?

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

  • D

    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 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.

  • What are diffusion models?

    Diffusion models are a category of generative AI that excels at creating images, audio, video and other types of data by using a two-step process: forward diffusion and reverse diffusion.

  • What is Dall-E and how does it work?

    Dall-E is a generative artificial intelligence (AI) technology that enables users to create images by submitting text-based prompts.

  • What is data poisoning (AI poisoning) and how does it work?

    Data or AI poisoning attacks are deliberate attempts to manipulate the training data of artificial intelligence and machine learning models to corrupt their behavior and elicit skewed, biased or harmful outputs.

  • What is deep learning and how does it work?

    Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that trains computers to learn from extensive data sets in a way that simulates human cognitive processes.

  • E

    What is embodied AI? How it powers autonomous systems

    Embodied AI refers to artificial intelligence systems that interact with and can learn from their environments using a suite of technologies that include sensors, motors, machine learning and natural language processing.

  • F

    facial recognition

    Facial recognition is a category of biometric software that maps an individual's facial features to confirm their identity.

  • 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.

  • What is face detection and how does it work?

    Face detection, also called facial detection, is a computer technology that identifies human faces in digital images and video.

  • What is fine-tuning in machine learning and AI?

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

  • What is 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).

  • G

    gradient descent

    Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.

  • What are 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 a generative adversarial network (GAN)?

    A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete by using deep learning methods to become more accurate in their predictions.

  • What is a generative model?

    A generative model uses AI and statistical and probabilistic methods to create representations or abstractions of observed phenomena or target variables.

  • What is Gemma? Google's open sourced AI model explained

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

  • What is GenAI? Generative AI explained

    Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, images and audio, in response to a query or prompt.

  • What is GPT-3? Everything you need to know

    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.

  • What is the Google Gemini AI model (formerly Bard)?

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

  • 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.

  • What is 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.

  • What is the 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.

  • What is a Kolmogorov-Arnold Network?

    A Kolmogorov-Arnold Network (KAN) is a neural network architecture that dramatically improves the performance and explainability of physics, mathematics and analytics models.

  • L

    What is LangChain and how to use it: A guide

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

  • What is 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.

  • What is lemmatization?

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

  • M

    What is machine learning bias (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 systemically prejudiced due to erroneous assumptions in the machine learning (ML) process.

  • What is machine translation?

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

  • What is 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.

  • What is multimodal AI? Full guide

    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

    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.

  • What is a neural network?

    A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain.

  • What is 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.

  • What is 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.

  • What is 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.

  • What is 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.

  • What is neural radiance field (NeRF)?

    Neural radiance fields (NeRFs) use deep learning to turn 2D images of objects or scenes into detailed 3D representations by encoding the entire scene into an artificial neural network.

  • What is neuro-symbolic AI?

    Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision.

  • O

    What is OpenAI?

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

  • P

    What is prompt chaining? Definition and benefits

    Prompt chaining is a technique used when working with generative artificial intelligence (generative AI) models in which the output from one prompt is used as input for the next.

  • R

    robot economy

    The robot economy is a scenario in which most of the labor required to sustain human life is automated.

  • What is a robo-advisor? Everything to know before using one

    A robo-advisor is a virtual financial advisor powered by artificial intelligence (AI) that employs an algorithm to deliver an automated selection of financial advisory services.

  • What is reinforcement learning?

    Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions.

  • What is responsible AI?

    Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to use AI in a safe, trustworthy and ethical fashion.

  • What is retrieval-augmented generation (RAG) in AI?

    Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses.

  • 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."

  • What is semantic search?

    Semantic search is a data searching technique that uses natural language processing (NLP) and machine learning algorithms to improve the accuracy of search results by considering the searcher's intent and the contextual meaning of the terms used in their query.

  • What is supervised learning?

    Supervised learning is a subcategory of machine learning (ML) and artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.

  • T

    What is a transformer model?

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

  • What is the 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

    What is 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

    What are vector embeddings?

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

  • What are vision language models (VLMs)?

    Vision language models (VLMs) are a type of artificial intelligence (AI) model that can understand and generate text about images.

  • What is a variational autoencoder (VAE)?

    A variational autoencoder (VAE) is one of several generative models that use deep learning to generate new content, detect anomalies and remove noise.