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2,489 articles changed in the last 30 days; 52 are new in the last 7 days. Dates show when an article's text last changed, so link and formatting passes do not move it up the list. Page 33 of 50.

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Thursday, July 16, 2026

CamemBERTv4CamemBERT is a French monolingual language model based on the RoBERTa architecture, released in late 2019 by researchers at Inria, Facebook AI Research, and Sorbonne Université.
Targetv8In supervised learning, the target is the variable that a model learns to predict from input features.
OPUS-MTv5OPUS-MT is a large collection of open, freely licensed neural machine translation models and tools produced by the Language Technology Research Group at the University of Helsinki.
Minimax Lossv7Minimax loss is a loss function rooted in game theory and decision theory that measures the worst-case performance of a strategy, algorithm, or model.
Galaxea R1v7The Galaxea R1 is a series of wheeled dual-arm humanoid robots developed by Galaxea AI (also known as Galaxea Dynamics), a Chinese embodied AI and robotics startup founded in 2023.
Custom GPTs By ChatGPTv6Custom GPTs by ChatGPT are the small set of Custom GPTs that OpenAI itself publishes under the verified @ChatGPT builder profile inside the GPT Store.
SantaCoderv5SantaCoder is a 1.1 billion parameter large language model for code generation, released in early 2023 by the BigCode project, an open scientific collaboration co-led by Hugging Face and ServiceNow Research.
AI Test Kitchenv6AI Test Kitchen was a Google application for Android, iOS, and the web that let users interact with experimental generative AI models behind a controlled access program.
Tome (AI)v10Tome was an artificial intelligence-powered presentation and storytelling platform that allowed users to generate full presentations, including text, images, and layouts, from a single text prompt.
Wav2Vec 2.0v6Wav2Vec 2.0 is a self-supervised learning framework for speech representation, developed by the Facebook AI Research (FAIR) group at Meta and introduced in 2020.
Rank (ordinality)v7In machine learning and statistics, rank or ordinality describes data whose values have a meaningful order but whose spacing between values is not necessarily equal or quantitatively meaningful.
TPU Boardv7A TPU board (Tensor Processing Unit board) is a printed circuit board (PCB) that houses one or more Tensor Processing Unit chips along with associated memory, power delivery, and interconnect components.
Depthwise Separable CNNv5A depthwise separable convolution is a factorized form of convolution that decomposes a standard convolutional operation into two sequential steps: a depthwise convolution and a pointwise convolution.
Machine learning terms/Sequence Modelsv7Sequence models are a class of machine learning systems designed to process inputs or produce outputs that have a meaningful order.
Proprietary vs. Open Source Large Language Models (LLMs)v8The split between proprietary and open-source large language models (LLMs) is one of the defining structural choices in modern artificial intelligence.
ToxiGenv5ToxiGen is a large-scale, machine-generated dataset designed for adversarial and implicit hate speech detection.
FLORES-200v6FLORES-200 is a multilingual evaluation benchmark for machine translation systems, covering 200 languages across a wide range of language families, scripts, and resource levels.
RoboCasav4RoboCasa is a large-scale simulation framework for training generalist robots to perform everyday household tasks.
A*v8A* (pronounced "A-star") is a best-first graph search algorithm that finds a least-cost path from a start node to a goal node.
Zero-Shot Image Classification Modelsv7Zero-shot image classification models are vision systems that assign images to categories the model has never encountered as labeled training examples.
CRUXEvalv6CRUXEval (Code Reasoning, Understanding, and eXecution Evaluation) is a benchmark designed to measure how well large language models can reason about, understand, and mentally execute short Python programs.
Beveragev6Artificial intelligence in the beverage industry covers the use of machine learning, generative AI, computer vision, and robotics in the development, production, marketing, distribution, and serving of drinks.
Gumloopv4Gumloop is a no-code AI workflow automation platform that lets teams build, deploy, and manage AI agents and automated workflows through a visual drag-and-drop interface.
LAMBADAv6LAMBADA (LAnguage Modeling Broadened to Account for Discourse Aspects) is a benchmark dataset designed to evaluate the ability of computational language models to understand broad discourse context.
Charityv5Charity, nonprofit, and humanitarian work has become one of the most visible testbeds for applied artificial intelligence.
Machine learning terms/Clusteringv7Clustering is a class of unsupervised machine learning techniques that partition a set of objects into groups, called clusters
Wide Modelv6A wide model is a type of machine learning model that uses a large number of input features, often with sparse, high-dimensional representations such as one-hot encoding and cross-product feature…
Ridge Regularizationv9Ridge regularization, also known as L2 regularization or Tikhonov regularization, is a technique in statistics and machine learning that adds a squared L2-norm penalty to a model's loss function.
Moviesv8Artificial intelligence has been one of the most durable subjects in cinema since at least the 1920s, when Fritz Lang's Maschinenmensch in Metropolis (1927) set the template for the screen robot.
WritingBenchv7WritingBench is a comprehensive benchmark for evaluating the generative writing capabilities of large language models (LLMs) across diverse real-world writing tasks.
Dev toolsv7AI dev tools are the software products, libraries, and platforms that developers use to build, ship, and operate applications powered by artificial intelligence models.
AI in agriculturev8AI in agriculture refers to the application of artificial intelligence, machine learning, computer vision, and robotics to farming and food production.
Decision Thresholdv9A decision threshold (also called a classification threshold or cutoff point) is a value used to convert the continuous probability output of a machine learning classifier into a discrete class label.
Quantile bucketingv5Quantile bucketing, also called quantile binning, equal-frequency binning, or quantile discretization
Quantum machine learningv7Quantum machine learning (QML) is a research field that sits at the intersection of quantum computing and machine learning.
Candidate Generationv9Candidate generation is the first stage in a multi-stage recommendation system or information retrieval pipeline.
Candidate Samplingv7Candidate sampling is a family of training-time optimization techniques used in machine learning to reduce the computational cost of models that must choose among a very large number of output classes.
Zero-Shot Classification Modelsv6Zero-shot classification models are machine learning systems that assign input text to a set of candidate categories without having seen labeled training examples for those specific categories.
WORDLY - WORD Gamev9WORDLY - WORD Game is a ChatGPT plugin released in June 2023 that lets users play a Wordle style guessing game inside ChatGPT.
NaN Trapv11A NaN trap (short for "Not a Number" trap) is a failure mode in machine learning training where arithmetic operations produce the special IEEE 754 value NaN, which then propagates through all subsequent…
Fashionv6AI in fashion refers to the use of artificial intelligence, machine learning, and computer vision across the apparel, footwear, and accessories industry.
Nonstationarityv7Nonstationarity refers to the condition in which the statistical properties of a data-generating process change over time.
Unidirectionalv8Unidirectional is a property of a sequence model in which the representation or output at each position depends only on inputs from one direction of the sequence
MimicGenv4MimicGen is a data generation system developed by researchers at NVIDIA's Seattle Robotics Lab and Learning and Perception Research group that automatically produces large-scale robot manipulation datasets…
Generalization Curvev10A generalization curve (also called a learning curve) is a plot that visualizes how a machine learning model's performance on training data and unseen data changes as a function of some varying quantity, such…
Token Classification Modelsv7Token classification models are natural language processing systems that assign a discrete label to every token in an input sequence, where a token is typically a word, subword piece, or character.
Estimator (tf.estimator)v7tf.estimator is a high-level TensorFlow API that encapsulates the complete lifecycle of a machine learning model, including training, evaluation, prediction, and export for serving.
Summarization Modelsv6Summarization models are natural language processing systems that condense a source document, set of documents, or dialogue into a shorter version that preserves the most important information.
Robot navigationv6Robot navigation is the ability of a mobile robot to determine its own position in its environment, plan a path toward a goal, and execute that path while avoiding obstacles.
Machine learning terms/Allv7This alphabetical glossary collects core terminology used across machine learning, deep learning, reinforcement learning, large language models, and TensorFlow tooling.
Multi-Class Logistic Regressionv8Multi-class logistic regression, also known as multinomial logistic regression, softmax regression, or the maximum entropy (MaxEnt) classifier
Table Question Answering Modelsv7Table question answering models (TableQA models) are machine learning systems that answer natural language questions over structured tabular data such as spreadsheets, database tables, and HTML tables…
Grokkingv7Grokking, also called delayed generalization, is a phenomenon in deep learning where a neural network first memorizes its training data (achieving near-perfect training accuracy but random-level test…
Weatherv6AI in weather forecasting refers to the use of machine learning, and especially deep learning, to predict the state of the atmosphere.
Academic Researchv6Academic research is among the fields most visibly reshaped by artificial intelligence since the late 2010s. The change has come from two directions at once.
AI Summary Generatorsv5AI summary generators are software tools that use natural language processing and, increasingly, large language models to condense documents, articles, meetings, videos, emails, and other source material into…
Booksv5This page is the AI Wiki index of books about artificial intelligence, organised by type.
Unconditional Image Generation Modelsv6Unconditional image generation models are generative neural networks that learn the marginal distribution p(x) of a set of training images and produce new samples from that learned distribution, with no extra…
Text2Text Generation Modelsv6Text-to-text (text2text) generation models are a family of neural network systems that frame many natural language processing tasks as a single problem: given an input text string
Sportsv5Artificial intelligence has reshaped almost every layer of professional and amateur sports, from how leagues officiate matches to how coaches design tactics, how broadcasters package highlights, and how…
Question Answering Modelsv6Question answering (QA) models are natural language processing systems that take a natural-language question as input and return a natural-language answer, optionally grounded in a supplied passage, document…
Robot safetyv7Robot safety is the discipline concerned with minimizing the risk of physical harm, property damage, and other hazards arising from the operation of robotic systems.
Feature specv7A feature spec (short for feature specification) is a declarative description of the input features used by a machine learning model: the name of each feature, its data type, its shape, whether it is required…
Fill-Mask Modelsv6Fill-mask models are language models trained with a masked language modeling (MLM) objective, in which a fraction of the tokens in an input sequence are hidden behind a special [MASK] symbol and the model…
Structural risk minimization (SRM)v8Structural risk minimization (SRM) is an inductive principle in statistical learning theory for selecting a learned model that simultaneously fits the training data and controls the capacity of the hypothesis…
IT Managementv6IT management, sometimes broken out into IT service management (ITSM) and IT operations (ITOps), is the set of practices, tools, and people that keep an organisation's information technology running.
Photographyv6Artificial intelligence in photography covers a wide span of techniques, from the computational pipelines baked into modern smartphones to the generative editing tools now built into Photoshop and Lightroom…
Sentence Similarity Modelsv7Sentence similarity models are machine learning systems that map natural language sentences to fixed-length numerical vectors (sentence embeddings) so that semantically related sentences sit close together in…
Real Estatev7Real estate has become one of the most data heavy industries to adopt artificial intelligence, with applications spanning home valuation, mortgage underwriting, property management, brokerage workflows…
MathArenav7MathArena is a public, continuously updated leaderboard and evaluation platform that measures the performance of large language models on mathematics competition problems released after each model's training…
Factorio Learning Environmentv5The Factorio Learning Environment (FLE) is an open source benchmark and research framework that uses the industrial automation game Factorio to evaluate the long-horizon agentic capabilities of large language…
App Developmentv6AI in app development refers to the use of large language models, generative AI, and AI agents to design, build, test, and ship software applications, with a particular focus on consumer apps, mobile apps, and…
Longform Creative Writingv6Longform Creative Writing is a capability area and benchmark family for large language models that measures how well a system can write coherent, engaging fiction or narrative non-fiction over thousands of…
Uplift Modelingv10Uplift modeling (also called incremental modeling, true lift modeling, or net modeling) is a set of machine learning and statistical techniques that predict the incremental impact of a treatment or action on…
Carsv6AI in cars covers the use of machine learning, computer vision, neural networks, and large language models in passenger vehicles, commercial trucks, and the systems that build and insure them.
Audio-to-Audio Modelsv6Audio-to-audio models are machine learning systems that take an audio waveform as input and produce a different audio waveform as output.
Digital Mediav7Artificial intelligence in digital media covers a sprawling set of practices that touch nearly every part of how news, video, audio, and online content are produced, distributed, moderated, and consumed.
Abbreviationsv9This page is a glossary of abbreviations, acronyms, and initialisms used throughout artificial intelligence and machine learning.
Image-to-Text Modelsv8Image-to-text models are machine learning systems that take an image as input and produce natural language text as output.
GPT APIv7The GPT API is the public HTTP interface that OpenAI exposes for programmatic access to its hosted language, vision, audio, image, and video models.
Tabular Regression Modelsv8Tabular regression models are machine learning systems that predict a continuous numeric target from a vector of tabular features, where rows are samples and columns are heterogeneous attributes (numeric…

Tuesday, July 14, 2026

The Humanoid 100v3The Humanoid 100 is a research report published by Morgan Stanley Research on February 6, 2025, under the title "The Humanoid 100: Mapping the Humanoid Robot Value Chain." It sorts roughly 100 publicly traded…
Made in China 2025v3Made in China 2025 (Chinese: 中国制造2025; pinyin: Zhongguo Zhizao 2025), commonly abbreviated MIC2025 or MIC 2025, is a ten-year industrial policy that China's State Council issued in May 2015 to shift the…
Moravec's paradoxv3Moravec's paradox is the observation that tasks requiring abstract, high-level reasoning, playing a board game, proving a theorem, filling out a tax form, take relatively little computation for a machine…
Universal Manipulation Interfacev4Universal Manipulation Interface (UMI) is an open-source system for collecting robot manipulation training data with a handheld, camera-equipped gripper instead of an actual robot.

NewerPage 33 of 50Older

Vision-based tactile sensor

A vision-based tactile sensor, also called an optical or camera-based tactile sensor, is a category of tactile sensing that measures touch by watching it rather than by reading a strain gauge, a capacitor, or…

End effectorv4An end effector is the device mounted at the working end of a robot arm or wrist: the part that actually touches, grips, welds, or otherwise acts on the world, while the rest of the arm exists only to position…

Event camerav3An event camera (also called a dynamic vision sensor, DVS, or neuromorphic camera) is an image sensor whose pixels work independently and asynchronously.

Force-torque sensorv4A force-torque sensor (F/T sensor) is a transducer that measures three orthogonal forces (Fx, Fy, Fz) and three torques or moments (Tx, Ty, Tz) applied simultaneously at a single point, across six degrees of…

Rolling-element bearingv2A rolling-element bearing is a machine component that lets one part rotate or pivot against another while carrying load, typically a shaft turning inside a housing, by placing hardened balls or rollers between…

Leadscrewv3A leadscrew (also written lead screw, and sometimes called a power screw) converts rotary motion into linear motion using a threaded shaft and a matching internally threaded nut that slide directly against…

Rotary encoderv3A rotary encoder is an electromechanical sensor that measures the angular position, direction, and speed of a rotating shaft and converts that motion into an electrical signal a controller can read.

Artificial musclev3Artificial muscle is an umbrella term for actuator technologies that generate motion by contracting along a line, the way biological muscle shortens to pull a tendon

Planetary gear trainv3A planetary gear train, also called an epicyclic gear train, is a gear reduction mechanism built from small "planet" gears that mesh with, and orbit around

Crossed-roller bearingv3A crossed-roller bearing is a precision rolling element bearing that packs cylindrical rollers into a single V-shaped raceway

Ball screwv4A ball screw is a mechanical linear-motion device that converts the rotary motion of a shaft into precise straight-line motion

Planetary roller screwv4A planetary roller screw is a precision mechanical component that converts rotary motion into linear motion by running a ring of threaded steel rollers between a central screw shaft and a surrounding nut

Deep Agentsv6Deep Agents is an open-source agent harness developed by LangChain for long-running, complex, multi-step, non-deterministic tasks such as research, coding, and go-to-market automation.

Stepper motorv3A stepper motor (also called a stepping motor) is an electric motor that converts a sequence of electrical pulses into discrete mechanical steps rather than smooth continuous rotation.

Axial flux motorv3An axial flux motor is an electric motor in which the magnetic flux crossing the gap between rotor and stator runs parallel to the shaft, rather than radiating outward from it as in a conventional motor.