Artificial intelligence and data

Encyclopædia Britannica

The Encyclopædia Britannica, also known as Britannica Online, is the oldest English-language encyclopedia, first published in Edinburgh in 1768 and now a digital reference company in Chicago.

An encyclopedia, also called a general encyclopaedia, is a reference work of concise entries giving topic overviews, distinguished from dictionaries by summarizing subjects rather than defining words.

Energy-based model

An energy-based model is a probabilistic model that attaches a scalar energy to each configuration, converting energies to probabilities through the Boltzmann form without explicit normalization.

English Wikipedia

English Wikipedia, also known as Enwiki, is the English-language edition of Wikipedia, the volunteer-written online encyclopedia. It is the largest of over 300 editions, holding around 7 million articles.

Enhanced driver's license

An enhanced driver's license (EDL) is a U.S. state-issued license proving identity and citizenship, accepted for land and sea border reentry in place of a passport in five states.

Ensembl

Ensembl is a public genome browser and annotation database based at EMBL-EBI in the United Kingdom, founded in 1999 to automatically annotate genomes with open-access gene, variation, and comparative data.

Ensemble clustering

Ensemble clustering, also called consensus clustering, is a machine learning method that combines multiple clusterings of the same data into a single consensus partition, improving quality and robustness.

Ensemble learning

Ensemble learning, also called ensemble methods, is a machine learning approach that combines predictions from multiple models into one, using methods like bagging, boosting, and stacking.

Ensemble regression

Ensemble regression is a machine learning method that combines several regression models into one predictor, typically by averaging, so that individual errors partially cancel; bagging and boosting are the classical ways of building it.

Ensemble simulation

An ensemble simulation runs a numerical model many times with slightly different initial conditions, parameters, or formulations, so the spread among runs estimates forecast uncertainty, underpinning operational weather and climate prediction since 1992.

Entity Framework

Entity Framework, also known as ADO.NET Entity Framework, is an object-relational mapping family for .NET, released in 2008 and split into the frozen EF6 and cross-platform EF Core.

Entity linking

Entity linking is a natural language processing method that maps entity mentions in text to knowledge base entries, choosing the right entry when candidates match the same surface form.

Entity List

The Entity List is a U.S. government roster of foreign businesses and individuals facing export license requirements, maintained by the Commerce Department's Bureau of Industry and Security.

GeneralOct 26, 2026

Entity resolution

Entity resolution (record linkage, deduplication, data matching) identifies records referring to the same real-world entity across databases. Methods span deterministic rules, Fellegi-Sunter probabilistic linkage, Bayesian clustering, and transformers, with blocking for scale.

Entity–attribute–value model

The entity–attribute–value model, also known as the EAV model or open schema, is a database design pattern storing each fact as a row of entity, attribute, and value.

Entity–relationship model

The entity–relationship (ER) model is a conceptual data model for database design, introduced by Peter Chen in 1976, representing data as entities, relationships, and attributes.

Epipolar geometry

Epipolar geometry is the projective geometry relating two perspective views of the same scene, restricting where a point's corresponding match appears in the other image to a single epipolar line.

Equal error rate

The equal error rate (EER) is a single-number performance measure for biometric verification systems, defined at the threshold where false acceptance and false rejection rates are equal.

EquiBind

EquiBind is an SE(3)-equivariant geometric deep learning model that predicts how a drug-like ligand binds to a protein, developed at MIT and published at ICML 2022.

EquiformerV2

EquiformerV2 is an equivariant graph transformer for 3D atomistic systems by MIT and Meta researchers, posted to arXiv in 2023, that scaled to higher-degree representations.

Equivariant Diffusion for Molecule Generation in 3D

Equivariant diffusion for molecule generation in 3D is a family of deep generative methods that produce new 3D molecular structures, founded by the EDM model in 2022.

Equivariant graph neural network

An equivariant graph neural network is a graph neural network whose outputs transform predictably under symmetries such as rotation and translation of 3D structures, used for interatomic potentials.

Equivariant neural network

An equivariant neural network is a neural network whose output transforms predictably when the input is transformed, widely used for 3D atomic systems and point clouds.

Erosion (morphology)

Erosion, also called morphological erosion, is a fundamental operator of mathematical morphology that shrinks bright or foreground regions of an image using a structuring element.

Error correction code

An error correction code (ECC) is a method that adds redundancy to data so errors from storage or transmission are detected and corrected without retransmission.

Error-driven learning

Error-driven learning adjusts a model's parameters in proportion to the difference between its predictions and observed outcomes, spanning supervised learning, reinforcement learning, and brain plasticity models.

erwin Data Modeler

erwin Data Modeler (erwin DM) is a data modeling tool sold by Quest Software that designs conceptual, logical, and physical data models and generates database schemas from them.

eSCN

eSCN, or Equivariant Spherical Channel Network, is a graph neural network for 3D atomic data, introduced at Meta AI in 2023, achieving state-of-the-art catalyst results.

etcd

etcd is a distributed, strongly consistent key-value store created at CoreOS in 2013, best known as Kubernetes' backing store, replicating data through the Raft consensus protocol.