Artificial intelligence

Terms related to artificial intelligence (AI), including definitions about machine learning and words and phrases about training data, algorithms, natural language processing, neural networks and automation.

Adobe Experience Platform - Adobe Experience Platform is a suite of customer experience management (CXM) solutions from Adobe.
advanced analytics - Advanced analytics is a broad category of inquiry that can be used to help drive changes and improvements in business practices.
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 alignment - AI alignment is a field of AI safety research that aims to ensure artificial intelligence systems achieve desired outcomes.
AI art (artificial intelligence art) - AI art (artificial intelligence art) is any form of digital art created or enhanced with AI tools.
AI democratization - AI democratization is the spread of artificial intelligence development to a wider user base that includes those without specialized knowledge of AI.
AI ethics (AI code of ethics) - AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technology.
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 prompt engineer - An AI prompt engineer is an expert in creating text-based prompts or cues that can be interpreted and understood by large language models and generative AI tools.
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.
AI winter - AI winter is a quiet period for artificial intelligence research and development.
algorithmic transparency - Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information.
AlphaGo - AlphaGo is an artificial intelligence agent that is specialized to play Go, a Chinese game of strategy, against human competitors.
Amazon AI - Amazon AI is a set of artificial intelligence (AI) services that offer machine learning (ML) and deep learning technologies for Amazon Web Services (AWS) customers.
Amazon Lex - Amazon Lex is an artificial intelligence (AI) web service.
Amazon Machine Learning - Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
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) - Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
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 Intelligence as a Service (AIaaS) - Artificial Intelligence as a Service (AIaaS) is the third-party offering of artificial intelligence (AI) outsourcing.
artificial intelligence of things (AIoT) - Artificial intelligence of things (AIoT) is the combination of artificial intelligence (AI) technologies and the internet of things (IoT) infrastructure.
artificial neuron - An artificial neuron is a connection point in an artificial neural network.
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.
Asilomar AI Principles - Asilomar AI Principles are 23 guidelines for the research and development of artificial intelligence (AI).
assistive technology (adaptive technology) - Assistive technology is a set of devices intended to help people who have disabilities.
association rules - Association rules are 'if-then' statements, that help to show the probability of relationships between data items, within large data sets in various types of databases.
augmented analytics - Augmented analytics is the use of machine learning (ML) and natural language processing (NLP) to enhance data analytics, data sharing and business intelligence.
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.
automated reasoning - Automated reasoning is the area of computer science concerned with applying reasoning in the form of logic to computing systems.
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.
backward chaining - Backward chaining is the logical process of inferring unknown truths from known conclusions by moving backward from a solution to determine the initial conditions and rules.
BERT language model - BERT language model is an open source machine learning framework for natural language processing (NLP).
big data - Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.
big data analytics - Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions.
black box AI - Black box AI is any artificial intelligence system whose inputs and operations aren't visible to the user or another interested party.
Boolean - In computing, the term Boolean means a result that can only have one of two possible values: true or false.
brain-computer interface (BCI) - Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb.
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.
causal AI - Causal AI is a form of artificial intelligence (AI) designed to identify and understand the cause and effect of relationships across data.
cellular automaton (CA) - A cellular automaton (CA) is a collection of cells arranged in a grid of specified shape, such that each cell changes state as a function of time, according to a defined set of rules driven by the states of neighboring cells.
chat room - A chat room is an online platform that enables users to communicate with each other in real time.
chatbot - A chatbot is a software or computer program that simulates the human conversation or "chatter" through text or voice interactions.
ChatGPT - ChatGPT is an AI chatbot that uses natural language processing to create humanlike conversational dialogue.
chatting - While the term chatting or chitchat refers in general to communication between two or more parties that can occur in person, in today's modern age, it can also occur over the internet via Short Message Service (SMS) text message and Multimedia Messaging Service (MMS) or, for example, through tools like Slack and Microsoft Teams and social media platforms like Facebook and Twitter.
clustering in machine learning - Clustering is a data science technique in machine learning that groups similar rows in a data set.
cognitive automation - Cognitive automation describes diverse ways of combining artificial intelligence (AI) and process automation capabilities to improve business outcomes.
cognitive bias - Cognitive bias is a systematic thought process caused by the tendency of the human brain to simplify information processing through a filter of personal experience and preferences.
cognitive blindness - Cognitive blindness is the inability to understand something due to the lack of a precept of knowledge, understanding or belief in a necessary fundamental concept.
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 creativity (artificial creativity) - Computational creativity (artificial creativity), is the application of computer technologies to emulate, study, stimulate and enhance human creativity.
computational linguistics (CL) - Computational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language.
Consensus Algorithm - A consensus algorithm is a process in computer science used to achieve agreement on a single data value among distributed processes or systems.
content analytics - Content analytics, also known as content intelligence, is the process of measuring and analyzing how users interact and engage with digital content.
context window - A context window is a textual range around a target token that a large language model (LLM) can process at the time the information is generated.
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.
crypto-agility - Crypto-agility, or cryptographic agility, is a data encryption practice used by organizations to ensure a rapid response to a cryptographic threat.
curiosity artificial intelligence (curiosity AI) - Curiosity artificial intelligence (curiosity AI) is the simulation of human curiosity in artificial intelligence.
Dall-E - Dall-E is a generative AI technology that enables users to create new images with text to graphics prompts.
data classification - Data classification is the process of organizing data into categories that make it is easy to retrieve, sort and store for future use.
data labeling - Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models.
data mining - Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
data sampling - Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.
data science platform - A data science platform is software that allows data scientists to uncover actionable insights from data and communicate those insights throughout an enterprise within a single environment.
data scientist - A data scientist is an analytics professional who is responsible for collecting, analyzing and interpreting data to help drive decision-making in an organization.
data splitting - Data splitting is when data is divided into two or more subsets.
decision tree - A decision tree is a graph that uses a branching method to illustrate every possible output for a specific input.
decision tree in machine learning - A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set.
deep analytics - Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data.
deep learning - Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge.
deepfake AI (deep fake) - Deepfake AI is a type of artificial intelligence used to create convincing images, audio and video hoaxes.
DeepMind - DeepMind is a division of Alphabet, Inc.
degrees of freedom (mechanics) - In mechanics, degrees of freedom (DOF) is the number of independent variables that define the possible positions or motions of a mechanical system in space.
delivery drone - A delivery drone is a type of unmanned aerial vehicle (UAV) used for distributing packages to consumers through advanced AI technology.
descriptive analytics - Descriptive analytics is a type of data analytics that looks at past data to give an account of what has happened.
digital process automation - Digital process automation (DPA) uses low-code development tools to automate processes that can span multiple applications.
dimensionality reduction - Dimensionality reduction is a process and technique to reduce the number of dimensions -- or features -- in a data set.
disambiguation - Disambiguation is the process of determining a word's meaning -- or sense -- within its specific context.
disruptive innovation - Disruptive innovation is the idea that when a product or service is introduced into an established industry and performs better and/or costs less than existing offerings, it can displace the market leaders and even transform the industry.
disruptive technology (disruptive innovation) - Disruptive technology, often referred to as disruptive innovation, is when a new business model attracts an underserviced market or revenue stream and grows until it supplants incumbent competitors.
dropout - Dropout refers to data, or noise, that's intentionally dropped from a neural network to improve processing and time to results.
edge AI - Edge artificial intelligence (edge AI) is a paradigm for crafting AI workflows that span centralized data centers (the cloud) and devices outside the cloud that are closer to humans and physical things (the edge).
empirical analysis - Empirical analysis is an evidence-based approach to the study and interpretation of information.
Ethereum - Ethereum is an open source, distributed software platform based on blockchain technology.
evolutionary algorithm - An evolutionary algorithm (EA) is an algorithm that uses mechanisms inspired by nature and solves problems through processes that emulate the behaviors of living organisms.
expert system - An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expertise and experience in a particular field.
explainable AI - Explainable AI (XAI) is artificial intelligence (AI) that's programmed to describe its purpose, rationale and decision-making process in a way that the average person can understand.
extrapolation and interpolation - Extrapolation refers to estimating an unknown value based on extending a known sequence of values or facts.
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.
facial recognition - Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint.
feature engineering - Feature engineering is the process that takes raw data and transforms it into features that can be used to create a predictive model using machine learning or statistical modeling, such as deep learning.
fine-tuning - Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set.
first-order logic - First-order logic (FOL) refers to logic in which the predicate of a sentence or statement can only refer to a single subject.
flux - In physics, flux is a measure of the number of electric or magnetic field lines passing through a surface in a given amount time.