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.
AI alignment - AI alignment is a field of AI safety research that aims to ensure artificial intelligence systems achieve desired outcomes.
AI PC - An AI PC is a personal computer equipped with hardware and software components to run artificial intelligence (AI) applications and tasks.
AI readiness: What is it, and is your business ready? - Artificial intelligence (AI) readiness encompasses all the elements, processes and steps needed to prepare an organization to implement AI systems.
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 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.
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.
Asilomar AI Principles - Asilomar AI Principles are 23 guidelines for the research and development of artificial intelligence (AI).
association rules - Association rules are if-then statements that show the probability of relationships between data items within large data sets in various types of databases.
automated machine learning (AutoML) - Automated machine learning (AutoML) is the process of applying machine learning 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.
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, semi-structured and unstructured data that organizations collect, analyze and mine for information and insights.
Boolean - In computing, the term Boolean means a result that can only have one of two possible values: true or false.
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 human conversation or "chatter" through text or voice interactions.
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.
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.
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.
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.
data classification - Data classification is the process of organizing data into categories that make it easy to retrieve, sort and store for future use.
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.
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.
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.
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.
ensemble modeling - Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread.
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.
extrapolation and interpolation - Extrapolation refers to estimating an unknown value based on extending a known sequence of values or facts.
facial recognition - Facial recognition is a category of biometric software that maps an individual's facial features to confirm their identity.
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.
forward chaining - Forward chaining is the logical process of inferring unknown truths from known data and moving forward using determined conditions and rules to find a solution.
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.
Gaussian splatting - Gaussian splatting renders extremely high-quality images -- using numerous scans of an object -- that can then be viewed from any angle and explored in real time.
Google Duplex - Google Duplex is an artificial intelligence (AI) technology that mimics a human voice and makes phone calls on a person's behalf.
gradient descent - Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.
graph database - A graph database, also referred to as a semantic database, is a software application designed to store, query and modify network graphs.
Hadoop - Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications in scalable clusters of computer servers.
Hadoop as a service (HaaS) - Hadoop as a service (HaaS), also known as Hadoop in the cloud, is a big data analytics framework that stores and analyzes data in the cloud using Hadoop.
Hugging Face - Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models.
hyperautomation - Hyperautomation is a framework and a set of advanced technologies for scaling automation in the enterprise.
IBM Watson supercomputer - Watson was a supercomputer designed and developed by IBM.
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.
immersive virtual reality (immersive VR) - Immersive virtual reality (immersive VR) is the presentation of an artificial environment that replaces users' real-world surroundings convincingly enough that they can suspend disbelief and fully engage with the created environment.
intelligent system - An intelligent system is an advanced computer system that can gather, analyze and respond to the data it collects from its surrounding environment.
intelligent workflow - Intelligent workflow is an orchestration method that integrates analytics, AI, machine learning and automation.
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.
large language model operations (LLMOps) - Large language model operations (LLMOps) is a methodology for managing, deploying, monitoring and maintaining LLMs in production environments.
law of large numbers - The law of large numbers is a principle of probability according to which the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances.
lexical ambiguity - Lexical ambiguity is the potential for multiple interpretations of spoken or written language that renders it difficult or impossible to understand without some additional information.
linguistic ambiguity - Linguistic ambiguity is a quality of language that makes speech or written text open to multiple interpretations.
Lisp (programming language) - Lisp, an acronym for list processing, is a functional programming language that was designed for easy manipulation of data strings.
logical equivalence - Logical equivalence is the condition of equality that exists between two statements or sentences in propositional logic or Boolean algebra.
machine teaching - Machine teaching is the practice of infusing context -- and often business consequences -- into the selection of training data used in machine learning (ML) so that the most relevant outputs are produced by the ML algorithms.
machine-to-machine (M2M) - Machine-to-machine, or M2M, is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
MICR (magnetic ink character recognition) - MICR (magnetic ink character recognition) is a technology invented in the 1950s that's used to verify the legitimacy or originality of checks and other paper documents.
model card in machine learning - A model card is a type of documentation that is created for, and provided with, machine learning models.
neural net processor - A neural net processor is a central processing unit (CPU) that holds the modeled workings of how a human brain operates on a single chip.
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.
neurosynaptic chip - A neurosynaptic chip, also known as a cognitive chip, is a computer processor that is designed to function more like a biological brain than a typical central processing unit (CPU).
Nvidia Omniverse - Nvidia Omniverse is a computing platform built to enhance digital design and development by integrating 3D design, spatial computing and physics-based workflows across Nvidia tools, third-party apps and AI services.
object recognition - Object recognition is at the convergence points of robotics, machine vision, neural networks and AI.
OCR (optical character recognition) - OCR (optical character recognition) is the use of technology to distinguish printed or handwritten text characters inside digital images of physical documents, such as a scanned paper document.
over sampling and under sampling - Over sampling and under sampling are techniques used in data mining and data analytics to modify unequal data classes to create balanced data sets.
overfitting in machine learning - Overfitting in machine learning occurs when a model excessively fits the training data, capturing both relevant patterns and inconsequential noise, resulting in inaccurate predictions of new data.
Pathways Language Model (PaLM) - The Pathways Language Model is the name of a family of AI large language models developed by Google.
pattern recognition - Pattern recognition is the ability to detect arrangements of characteristics or data that yield information about a given system.
personalization engine - A personalization engine is a tool used by businesses to collect and analyze customer behavior and data to create a customized user experience -- including special offers, product recommendations and automated marketing efforts -- in an e-commerce setting.
prediction error - A prediction error is the failure of some expected event to occur.