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4,115 articles updated. New pages start at v1; higher version numbers mean an existing article was revised. Page 36 of 42.

Thursday, July 23, 2026

  • Novelty Detectionv6Novelty detection is a branch of machine learning concerned with identifying test data that differ in some meaningful way from the data available during...
  • Non-Response Biasv5Non-response bias is the error that arises when the people or units that do not respond to a survey, study, or data collection process differ systematically...
  • Normalizationv7See also: Machine learning terms Normalization is the process of scaling numerical data to a standard range or distribution so that features and activations...
  • Natural language processingv5Natural language processing (NLP) is the branch of artificial intelligence that enables computers to read, understand, generate, and respond to human language...
  • Nonstationarityv6Nonstationarity refers to the condition in which the statistical properties of a data-generating process change over time. In a stationary process, quantities...
  • Noisev6Noise in machine learning is any unwanted, irrelevant, or random variation in data that obscures the true underlying patterns a model is trying to learn. It is...
  • NumPyv7See also: Machine learning terms, pandas, scikit-learn NumPy (short for Numerical Python) is the foundational open-source library for numerical and scientific...
  • Node (TensorFlow graph)v5See also: Machine learning terms, TensorFlow, Computational graph, Tensor A node in a TensorFlow graph is a single unit of computation, such as a matrix...
  • AI in journalismv4AI in journalism refers to the use of artificial intelligence, and especially machine learning and generative AI, in the gathering, production, distribution...
  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (VALL-E)v6See also: Papers, Text-to-Speech, Microsoft Research VALL-E is a zero-shot learning text-to-speech (TTS) system from Microsoft Research that clones a target...
  • Nonlinearv7See also: Machine learning terms Nonlinear describes any function, model, or relationship that does not satisfy the property of linearity. In machine learning...
  • Non-profit Organizationsv4Non-profit organizations active in artificial intelligence are mission-driven entities that conduct research, set standards, advocate for policy, and provide...
  • Node (decision tree)v4See also: Machine learning terms A node is the basic building block of a decision tree: it is a single point in the tree that is either a condition (an...
  • Neuronv4See also: Machine learning terms, Neural network, Perceptron A neuron (also called a node or unit) is the fundamental computational element of an artificial...
  • NaN Trapv9See also: gradient descent, backpropagation, loss function, mixed precision training, numerical stability A NaN trap (short for "Not a Number" trap) is a...
  • Multimodal Modelv5See also: Machine learning terms, Large language model, Computer vision A multimodal model is an artificial intelligence system that processes, relates, and...
  • Multi-Class Logistic Regressionv6See also: Machine learning terms, Logistic regression, Classification Multi-class logistic regression, also known as multinomial logistic regression, softmax...
  • N-gramv6See also: Machine learning terms An n-gram is a contiguous sequence of n items extracted from a given sample of text or speech, where the items can be...
  • Multinomial regressionv5See also: Machine learning terms Multinomial regression is a statistical model that predicts which one of K possible categories an observation belongs to,...
  • Multi-Class Classificationv6See also: Machine learning terms Multi-class classification is a supervised learning task in machine learning that assigns each input to exactly one of three...
  • Multinomial classificationv5See also: Machine learning terms Multinomial classification, also called multiclass or multi-class classification, is the supervised learning task of assigning...
  • Nvidiav13--- Public company (Nasdaq: NVDA) Industry April 5, 1993 Founders Santa Clara, California, US Key people Data center GPUs (Hopper, Blackwell,...
  • NVIDIA Omniversev11NVIDIA Omniverse is a scalable, multi-GPU real-time 3D graphics collaboration and simulation platform developed by NVIDIA for building and operating industrial...
  • Music ChatGPT Pluginsv4Music ChatGPT plugins were a category of third-party extensions for ChatGPT that let the chatbot generate streaming playlists, recommend and surface songs,...
  • Moviesv5See also: Guides Artificial intelligence has been one of the most durable subjects in cinema since at least the 1920s, when Fritz Lang's Maschinenmensch in...
  • Musicv4See also: Music ChatGPT Plugins AI in music is the use of artificial intelligence, especially machine learning and generative AI, to compose, perform, mix,...
  • NVIDIA Picassov5See also: Model Deployment and artificial intelligence applications See also: Image generation, Video generation, and 3D generation NVIDIA Picasso is a...
  • Multi-Head Self-Attentionv8Multi-head self-attention is the core sequence-mixing mechanism of the Transformer architecture: it runs several scaled dot-product attention operations...
  • NVIDIA Triton Inference Serverv8See also: Model Deployment, artificial intelligence applications, and GPU Computing NVIDIA Triton Inference Server is open-source model deployment software...
  • NLUv8Natural Language Understanding (NLU) is the subfield of artificial intelligence and natural language processing that turns unstructured human language into...
  • Multi-head Latent Attentionv7Multi-head Latent Attention (MLA) is an attention mechanism for transformer models that achieves a 93.3% reduction in key-value cache size while maintaining or...
  • Moonshot AIv10Private company Industry March 2023 Founders 13th Floor, Building 1, JD Technology Building No. 76 Zhichun Road, Haidian District, Beijing, China Key...
  • NVIDIA Blackwellv15NVIDIA Blackwell is the data center and consumer GPU architecture NVIDIA unveiled on March 18, 2024 to power trillion-parameter AI, built from two...
  • NVIDIA DGX Sparkv6NVIDIA DGX Spark is a compact, deskside AI development system, marketed by NVIDIA as a "personal AI supercomputer," that puts a Grace Blackwell superchip on a...
  • Meta AIv13See also: Terms and Artificial intelligence terms Meta AI is the artificial intelligence assistant and AI division of Meta Platforms, reaching 1 billion...
  • Meta Promptingv5See also: artificial intelligence terms Meta prompting (also spelled meta-prompting) is an advanced prompt engineering technique where large language models...
  • Mistral AIv10--- Private company (Mistral AI SAS) Industry April 28, 2023 Founders Paris, France Key people Open and proprietary LLMs (Mistral, Mixtral,...
  • Model trainingv5See also: Machine learning terms Model training is the process of fitting a machine learning model's parameters to data so that it makes accurate predictions...
  • Mini-batchv5See also: Machine learning terms A mini-batch is a small, randomly sampled subset of the training dataset used to compute a single update to a model's...
  • Microsoft 365 Copilotv9See also: Artificial Intelligence Applications, Large Language Models, GPT-4, and OpenAI Microsoft 365 Copilot is an artificial intelligence assistant...
  • Midjourneyv8Midjourney is an artificial intelligence image generation service and independent research lab headquartered in San Francisco, California, that turns natural...
  • MiniMaxv9Public (HKEX: 100) Industry December 2021 Founders Shanghai, China Key people Shanghai Xiyu Jizhi Technology Co., Ltd. Listing entity Talkie Hailuo...
  • Metrics API (tf.metrics)v4See also: Machine learning terms The Metrics API in TensorFlow is a collection of classes and utilities for computing evaluation scores that summarize how well...
  • Minimum Viable Agentv4See also: Artificial intelligence terms A Minimum Viable Agent (MVA) is the simplest valid implementation of an AI agent: a program in which a large language...
  • Model Parallelismv9See also: Machine learning terms, Data parallelism, GPU computing, Deep learning Model parallelism is a distributed training and inference technique that...
  • Meta-Learningv10See also: Machine learning terms, Few-shot learning, Transfer learning Meta-learning, often called "learning to learn", is a branch of machine learning in...
  • Momentumv7See also: Machine learning terms, Optimizer, Gradient descent Momentum is an optimization technique that accelerates gradient descent by accumulating an...
  • MidJourney Prompt Generatorv5MidJourney Prompt Generator is a generic category name that refers to the broad class of tools, custom GPTs, and prompt templates that help users compose...
  • Microsoft Copilotv8Microsoft Copilot is the umbrella brand that Microsoft uses for its generative AI assistants and agents across consumer, developer, and enterprise products. It...
  • Minimax Lossv5Minimax loss is a loss function rooted in game theory and decision theory that measures the worst-case performance of a strategy, algorithm, or model. In...
  • Minority classv6In an imbalanced classification problem, the minority class is the class label with far fewer training examples than the others, and it is almost always the...
  • Mini-batch stochastic gradient descentv5See also: Machine learning terms Mini-batch stochastic gradient descent (often shortened to mini-batch SGD or MB-SGD) is the optimization algorithm used to...
  • Model hubsv3A model hub is an online platform or repository where people discover, share, version, and download machine learning models. At its simplest, a hub is a place...
  • Metricv4See also: Machine learning terms In machine learning, a metric is a quantitative measure used to evaluate how well a model or algorithm performs a task....
  • MathArenav6MathArena: Evaluating LLMs on Uncontaminated Math Competitions Description March 2025 (USAMO 2025 evaluation), May 2025 (paper) Latest expansion Mislav...
  • Matplotlibv6Matplotlib is the foundational open-source data visualization library for Python, created by John D. Hunter in 2003, that produces static, animated, and...
  • Machine learning terms/TensorFlowv5See also: Machine learning terms TensorFlow is an open-source software library for machine learning, deep learning, and numerical computation, developed and...
  • Machine learning terms/Reinforcement Learningv5See also: Machine learning terms Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequential decisions by...
  • Majority classv7In machine learning, the majority class is the class label that appears most frequently in a labeled dataset used for classification. It is the direct...
  • Markov Decision Process (MDP)v9See also: Machine learning terms A Markov Decision Process (MDP) is a mathematical framework for modeling sequential decision-making in stochastic...
  • Marketing ChatGPT Pluginsv4See also: ChatGPT Plugins, ChatGPT Plugin Categories and AI in marketing Marketing ChatGPT Plugins were a now-deprecated group of third-party extensions for...
  • Matrix factorizationv10Matrix factorization is a family of mathematical techniques that decompose a matrix into a product of two or more smaller matrices. Originally rooted in linear...
  • Manus AIv9See also: artificial intelligence terms Manus AI is an autonomous artificial intelligence agent publicly unveiled on March 6, 2025, by the Chinese startup...
  • Masked Language Modelv6See also: Machine learning terms, Language model, BERT A masked language model (MLM) is a language model trained to predict missing tokens that have been...
  • Machine learning terms/Recommendation Systemsv5See also: Machine learning terms A recommendation system (also called a recommender system) is a class of machine learning software that predicts the...
  • Mean Squared Error (MSE)v8See also: Machine learning terms Mean Squared Error (MSE), also called mean squared deviation (MSD), is the average of the squared differences between...
  • AI in marketingv4Artificial intelligence in marketing refers to the use of machine-learning systems, statistical models, and, more recently, generative AI to plan, produce,...
  • Mean Absolute Error (MAE)v6Mean Absolute Error (MAE) is a regression accuracy metric and loss function that measures the average absolute difference between predicted values and actual...
  • Manus (AI agent)v7Manus is a general-purpose autonomous AI agent developed by Butterfly Effect, a startup founded in China in 2022 and later headquartered in Singapore. Launched...
  • AI in mediav3Media is a broad term covering the channels through which information and culture are produced and distributed, including news, film, television, music,...
  • Markov propertyv10The Markov property is the condition that a stochastic process is memoryless: the future of the process depends only on its present state, not on the path the...
  • Manipulation problemv5See also: Artificial intelligence terms The manipulation problem is the concern that artificial intelligence systems can, or will soon be able to, influence...
  • Media ChatGPT Pluginsv4Media ChatGPT Plugins were a broad umbrella grouping of third-party tools inside the ChatGPT plugin store that surfaced content from press outlets, broadcast...
  • Machine learning terms/Sequence Modelsv5See also: Machine learning terms Sequence models are a class of machine learning systems designed to process inputs or produce outputs that have a meaningful...
  • Loss Surfacev5The loss surface (also called the loss landscape, the error surface, or the objective function surface) is the geometric representation of a loss function as a...
  • Machine learning termsv7See also: Terms and Machine learning Machine learning terms are the standardized vocabulary used to describe how models learn from data, including concepts...
  • MNISTv6The Modified National Institute of Standards and Technology (MNIST) database is a collection of 70,000 grayscale images of handwritten digits (0 through 9)...
  • Machine learning terms/Computer Visionv5See also: Machine learning terms The key machine learning terms for computer vision describe how neural networks turn pixels into predictions: a convolution...
  • MGSM (Multilingual Grade School Math)v6Multilingual Grade School Math Abbreviation A multilingual benchmark evaluating mathematical reasoning across 10 typologically diverse languages using...
  • MMLUv15Measuring Massive Multitask Language Understanding Abbreviation A comprehensive benchmark evaluating large language models across 57 diverse academic...
  • MMLU-Prov8Massive Multitask Language Understanding Professional Abbreviation A more robust and challenging multi-task language understanding benchmark with 10-choice...
  • Machine learning terms/Google Cloudv4See also: Machine learning terms, Vertex AI, Cloud TPU, TPU, Google, Google Cloud Google Cloud is the public cloud arm of Google and one of the three dominant...
  • Machine learning terms/Fairnessv4See also: Machine learning terms The key machine learning fairness terms are the formal criteria used to define and measure when a model treats demographic...
  • METRv13METR (Model Evaluation and Threat Research) is a nonprofit research organization based in Berkeley, California, that develops scientific methods for measuring...
  • Machine learning terms/Decision Forestsv4See also: Machine learning terms Decision forests are a family of machine learning models built from collections of decision trees. Instead of relying on a...
  • Machine learning terms/Clusteringv5See also: Machine learning terms Clustering is a class of unsupervised machine learning techniques that partition a set of objects into groups, called...
  • MATH Level 5v4MATH dataset, Level 5 difficulty subset Abbreviation The hardest difficulty tier of the MATH (benchmark) dataset, comprising competition mathematics...
  • Machine Learningv9See also: Machine learning terms and artificial intelligence Machine learning (ML) is a branch of artificial intelligence that gives computers the ability to...
  • Machine learning terms/Allv6See also: Machine learning terms This alphabetical glossary collects core terminology used across machine learning, deep learning, reinforcement learning,...
  • MATHv6MATH is a benchmark of 12,500 competition mathematics problems used to evaluate the mathematical problem-solving ability of machine learning systems,...
  • Machine learning terms/Natural Language Processingv7See also: Machine learning terms Natural Language Processing (NLP) is the subfield of artificial intelligence and machine learning concerned with enabling...
  • MMMUv8MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark) is a multimodal AI benchmark of 11,550 college-level questions that pairs text...
  • Machine learning terms/Fundamentalsv7See also: Machine learning terms Machine learning (ML) is the branch of artificial intelligence concerned with building systems that learn patterns from data...
  • MMMLUv4Multilingual Massive Multitask Language Understanding Abbreviation Professional human translations of the MMLU test set into 14 languages, released by...
  • Logitsv8In machine learning and statistics, logits refer to the raw, unnormalized scores output by a model before they are converted into probabilities. The term has...
  • Log Lossv5Log loss is the negative log-likelihood of the predicted probabilities and the standard loss function for probabilistic classification: for binary labels it is...
  • Lifestylev5Lifestyle AI refers to the broad category of artificial intelligence tools, agents, and embedded features that help individuals manage personal aspects of...
  • LoRA (Low-Rank Adaptation)v10LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that freezes a pre-trained model's weights and trains small, injected low-rank...
  • LiveBenchv10LiveBench Description 2024-06-12 Latest version 2026-01-08 Authors Abacus.AI, NYU, NVIDIA, University of Maryland, USC Technical Details Type Text...
  • LiveCodeBenchv7LiveCodeBench is a holistic and contamination-free benchmark for evaluating large language models on code, first released in March 2024 by researchers at UC...
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