Artificial intelligence and data

Ethics of artificial intelligence

Ethics of artificial intelligence, or AI ethics, studies documented harms like wrongful arrests from facial recognition and biased hiring tools, plus long-term risks from advanced AI.

ETL developer

ETL developer: a data professional who builds and maintains extract, transform, load pipelines that move source data into data warehouses. Key skills SQL, SSIS, Informatica, Talend, Python; closely related to data engineering.

EU–US Data Privacy Framework

The EU–US Data Privacy Framework (DPF) is a 2023 arrangement allowing personal data flows from the EU to US companies that self-certify compliance, succeeding the invalidated Safe Harbour and Privacy Shield.

Euler method

The Euler method (also called the forward Euler method) is the simplest numerical method for solving ordinary differential equations, stepping along tangent lines; it is first order and rarely used in practice.

Eulerian method (fluid dynamics)

The Eulerian method is a fluid simulation approach that solves the equations of flow on a fixed spatial grid, storing velocity and density at fixed points in space.

European Centre for Medium-Range Weather Forecasts

The European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organization in Reading, UK, whose global forecasts and climate reanalyses serve 35 states.

European Conference on Computer Vision

The European Conference on Computer Vision (ECCV) is a biennial research conference in computer vision and machine learning, first held in Antibes, France, in 1990.

European Data Protection Board

The European Data Protection Board (EDPB) is an independent EU body, working since 2018 to ensure consistent application of the GDPR across the European Economic Area.

European driving licence

The European driving license, or European Union driving license, is a driving license issued under common EU rules and valid in every EU country since 2013.

Evacuation simulation

Evacuation simulation is a computational method modeling how crowds move and exit buildings or ships in emergencies, used by fire safety engineers to demonstrate code compliance.

Evaluation function

An evaluation function is a heuristic that scores how favorable a game position is, letting game-tree search rank moves without searching to the end, as in chess engines.

Event calculus

The event calculus is a logic programming formalism for reasoning about action and change, introduced in 1986 by Robert Kowalski and Marek Sergot, in which events on a single time line initiate and terminate fluents.

Event camera

An event camera, also called a Dynamic Vision Sensor (DVS), is an imaging sensor whose pixels asynchronously report brightness changes, offering microsecond timing, high dynamic range, and low power.

Event extraction

Event extraction is the natural language processing task of identifying event mentions in text and structuring each one, with its participants, time, and location, into a machine-readable record.

Event time

Event time, in stream processing, is the timestamp of when an event occurred at its source, contrasted with ingestion time and processing time; systems like Flink, Kafka, and Beam use watermarks to handle out-of-order and late event-time data.

Eventual consistency

Eventual consistency, also called eventually consistent, is a weak consistency model for replicated distributed storage, formulated by Werner Vogels in 2009 and popularized by Amazon's Dynamo key-value store.

Evidential deep learning

Evidential deep learning (EDL) is a neural network training approach for uncertainty quantification, introduced at NeurIPS 2018, where the network outputs evidence parameterizing a Dirichlet distribution over class probabilities.

Evidently AI

Evidently AI, also called Evidently, is an open-source Apache 2.0 Python framework (pip install evidently) for evaluating, testing, and monitoring ML and LLM systems, founded 2020 by Elena Samuylova and Emeli Dral, YC Summer 2021.

Evolution strategies

Evolution strategies are a class of evolutionary algorithms for black-box optimization, developed in the 1960s at the Technical University of Berlin, using mutation and selection without gradients.

Evolution strategy

An evolution strategy is a black-box optimization algorithm that improves candidate solutions through mutation, recombination, and selection, developed by Ingo Rechenberg and Hans-Paul Schwefel in the 1970s.

Evolutionary algorithm

An evolutionary algorithm (EA), or artificial evolution, is a stochastic optimization method inspired by biological evolution, spanning genetic algorithms and evolution strategies; NASA flew an antenna it designed.

Evolutionary clustering

Evolutionary clustering is a data mining method for time-stamped data that produces one clustering per time step, balancing fit to current data against stability from the previous step.

GeneralOct 20, 2026

Evolutionary computation

Evolutionary computation is a group of search and optimization techniques that mimics biological evolution, maintaining populations of candidate solutions that improve through selection, mutation, and recombination.

Evolutionary multiobjective optimization

Evolutionary multiobjective optimization (EMO) is a family of population-based algorithms that use evolutionary search to approximate the Pareto optimal set of problems with several conflicting objectives in one run.

Evolutionary programming

Evolutionary programming is a family of stochastic optimization algorithms that evolves candidate solutions through mutation and selection alone, without crossover, conceived by Lawrence J. Fogel in 1960.

Evolutionary reinforcement learning

Evolutionary reinforcement learning (ERL, also written EvoRL) is a family of machine learning methods combining evolutionary algorithms with reinforcement learning to improve exploration and robustness in deep RL.

Evolv Technology

Evolv Technology is a Massachusetts-based security company whose Evolv Express walk-through system uses AI and electromagnetic sensing to screen people for weapons, sold by subscription since going public in 2021.

Exact inference

Exact inference is a class of algorithms that computes posterior probabilities in probabilistic graphical models exactly, using methods like variable elimination and the junction tree algorithm.

Exactly-once semantics

Exactly-once semantics: strongest stream processing guarantee that no record is lost or duplicated under failure, achieved via checkpointing, deduplication IDs, and transactions in Dataflow, Flink, Kafka, and Spark.