Artificial intelligence and data

3,135 articles

General

#P

#P (sharp P) is a complexity class introduced by Leslie Valiant in 1979 for functions counting the accepting paths of a nondeterministic polynomial-time machine, equivalently the number of solutions of NP problems.

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#P (complexity class)

#P ("sharp P") is a complexity class of counting problems, introduced by Leslie Valiant in 1979; where NP asks whether a solution exists, #P asks how many.

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#P-complete

#P-complete problems are the hardest counting problems in complexity class #P, defined by Leslie Valiant in 1979; canonical examples are #SAT, counting satisfying assignments, and the matrix permanent.

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⊕P

⊕P, also written parity-P, is a complexity class of decision problems where a nondeterministic polynomial-time machine accepts when it has an odd number of accepting paths.

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2014 celebrity nude photo leak

The 2014 celebrity nude photo leak, also known as Celebgate, was the theft and online publication of nude photos of more than 100 celebrities.

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2017 Equifax data breach

The 2017 Equifax data breach was a cyberattack on credit bureau Equifax that exposed the personal data of roughly 147 million people through an unpatched Apache Struts vulnerability.

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2023 AI Safety Summit

The 2023 AI Safety Summit was an international conference on AI safety held at Bletchley Park, UK, on 1–2 November 2023, producing the 28-country Bletchley Declaration.

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2B (Nier: Automata)

2B, formally YoRHa No. 2 Type B, is a fictional battle android and protagonist of the 2017 action role-playing game NieR: Automata by PlatinumGames and Square Enix.

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3D computer graphics

3D computer graphics, also called three-dimensional computer graphics, are graphics in which scenes are described mathematically in 3D and rendered into 2D images, using models, materials, and algorithms like rasterization and ray tracing.

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3D convolutional neural network

A 3D convolutional neural network (3D CNN) applies convolutional filters across multiple axes of a data volume, learning features from video and volumetric images such as CT or MRI scans.

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3D image reconstruction

3D image reconstruction is the set of computational methods that recover a 3D volume or surface from 2D images or projections, underpinning CT, MRI, PET, ultrasound, and electron microscopy.

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3D morphable model

A 3D morphable model (3DMM) is a statistical generative model of 3D face shape and texture, introduced by Volker Blanz and Thomas Vetter at SIGGRAPH 1999.

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3D parallelism

3D parallelism is a distributed deep-learning training strategy combining tensor, pipeline, and data parallelism, popularized by DeepSpeed and Megatron-LM and used to train models with over a trillion parameters.

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3D reconstruction

3D reconstruction is the set of computational methods that build a 3D model of an object or scene from images, depth data, or point clouds.

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3D Shape Context

The 3D Shape Context (3DSC) is a shape descriptor for 3D point data that represents surface shape around a point as a histogram, used for object recognition and registration.

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3D surface reconstruction

3D surface reconstruction is a computational geometry method that converts unorganized 3D point clouds, typically from scanners, into continuous surface models such as triangle meshes or implicit fields.

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3N-MCTS

3N-MCTS is a synthesis planning algorithm that combines Monte Carlo tree search with three deep neural networks to find retrosynthetic routes, introduced in a 2018 Nature paper.

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6D object pose estimation

6D object pose estimation is the computer vision task of estimating a rigid object's 3D position and orientation from camera images, needed for robotic grasping, augmented reality, and autonomous driving.

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7-Scenes

7-Scenes is a Microsoft Research dataset of tracked RGB-D camera frames from seven indoor scenes, published in June 2013 as a standard benchmark for camera relocalization and tracking.

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A Logical Calculus of the Ideas Immanent in Nervous Activity

A 1943 paper by Warren McCulloch and Walter Pitts modeling the neuron as a binary threshold device, widely seen as the first serious attempt to model computation in the brain.

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A Relational Model of Data for Large Shared Data Banks

Codd's 1970 CACM paper (A Relational Model of Data for Large Shared Data Banks) that founded the relational database model: n-ary relations, normalization, data independence, and the universal data sublanguage behind SQL.

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A-Lab (Berkeley Lab)

The A-Lab is an autonomous laboratory at Lawrence Berkeley National Laboratory, begun in 2020, that uses robotics, machine learning, and materials databases to synthesize inorganic powder materials.

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A.I. Artificial Intelligence

A.I. Artificial Intelligence is a 2001 American science fiction drama directed by Steven Spielberg, starring Haley Joel Osment as a robot boy programmed to love.

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A.X.L.

A.X.L. (2018) is Oliver Daly's sci-fi adventure film, adapted from his Kickstarter-funded short Miles, about teen motocross racer Miles Hill and a robotic military dog code-named Attack, Exploration, Logistics, starring Alex Neustaedter and Becky G.

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A* search algorithm

The A search algorithm is a graph search method that finds minimum-cost paths, published in 1968 by Hart, Nilsson, and Raphael at the Stanford Research Institute.

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Aadhaar (आधार)

Aadhaar (आधार) is a 12-digit unique identity number issued by India's UIDAI to residents, linking demographics with fingerprints and iris scans; over 1.4 billion numbers exist.

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Aardvark Weather

Aardvark Weather is an end-to-end data-driven weather prediction system that turns raw observations into global and local forecasts without conventional numerical weather prediction, described in Nature by University of Cambridge researchers in 2025.

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Ab initio structure prediction

Ab initio (de novo) structure prediction is a computational method that builds a 3D protein model from its amino acid sequence alone, without a template structure.

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ABBA Voyage

ABBA Voyage is a virtual concert residency in London where digital avatars of the Swedish pop group ABBA perform nightly at the purpose-built ABBA Arena since May 2022.

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Abnormal event detection

Abnormal event detection is a computer vision task that localizes unusual activities in video, such as accidents, fights, thefts, and arson, by scoring each frame.