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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 40 of 50.

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Thursday, June 25, 2026

Lambdav8Lambda (the Greek letter λ) is a symbol used across machine learning, statistics, and computer science to denote several distinct quantities
Bidirectional language modelv9A bidirectional language model is a language model that, when computing a representation for a token, conditions on both the tokens that come before it (the left context) and the tokens that come after it (the…
Travel ChatGPT Pluginsv5Travel ChatGPT plugins were the subset of third party plugins in the ChatGPT Plugins store, live between March 2023 and April 2024, that handled flight search, hotel booking, car rental, ground transport…
Prediction Biasv5Prediction bias is the difference between the average of a machine learning model's predictions and the average of the ground-truth labels in a dataset.
Linearv7In machine learning and mathematics, linear describes a function or relationship in which the output is built from the inputs only through addition and multiplication by constants.
Data Visualization ChatGPT Pluginsv5Data visualization ChatGPT plugins were a category of third party tools, active from 2023 to 2024, that let ChatGPT draw charts, plot graphs, render flowcharts, and build other visual representations of data…
SavedModelv9A SavedModel is the standardized, language-neutral serialization format that TensorFlow uses to package a complete, trained model (its computation graph, its weights, and any supporting assets) as a…
VQ-VAE (Vector Quantized Variational Autoencoder)v6VQ-VAE (Vector Quantized Variational Autoencoder) is a generative neural network that compresses data into a grid or sequence of discrete tokens drawn from a learned codebook
NVIDIA H20v5The NVIDIA H20 is a data-center graphics processing unit (GPU) that NVIDIA designed for the Chinese market to comply with United States export controls on advanced artificial-intelligence accelerators.
Classv5In machine learning, a class is one of the discrete categories that a classification model can assign to an input.
VQGAN (Taming Transformers)v4VQGAN (Vector Quantized Generative Adversarial Network) is a two-stage image-synthesis method that first compresses an image into a small grid of discrete codebook tokens with an adversarially trained…
DreamBoothv4DreamBooth is a subject-driven fine-tuning method for text-to-image diffusion models that personalizes a pretrained model to a specific subject, for example a particular dog, toy, or person, from just 3 to 5…
Biren Technologyv4Biren Technology (Chinese: 壁仞科技; pinyin: Birèn Keji) is a Chinese fabless semiconductor company, based in Shanghai and founded in 2019, that designs general-purpose GPUs and AI accelerators for data-center…
text-embedding-3v4text-embedding-3 is a family of third-generation text embedding models that OpenAI released on January 25, 2024.
Replit Agentv8Replit Agent is an AI software development agent built by Replit that turns a natural language description into a deployed, full-stack web application without the user writing code.
Scalable oversightv6Scalable oversight is the AI safety problem of how humans can reliably supervise, evaluate, and provide training signal to artificial intelligence systems whose capabilities approach, equal, or exceed those of…
Latent Dirichlet allocationv7Latent Dirichlet allocation (LDA) is a generative probabilistic model that discovers the hidden thematic structure in a collection of documents by treating each document as a mixture of a small number of…
Gazebo Simulatorv4Gazebo is an open-source 3D dynamic robotics simulator that has served as the de facto standard simulation environment for the robot software research community for over two decades.
Arize Phoenixv7Arize Phoenix is an open-source AI observability and evaluation platform developed by Arize AI for tracing, evaluating, and debugging large language model (LLM) and agent applications.
Superalignmentv9Superalignment is the technical problem of steering and controlling AI systems that are far more capable than their human supervisors, that is, systems at or beyond the level of superintelligence, and the name…
LIMEv8LIME (Local Interpretable Model-Agnostic Explanations) is a technique for explaining individual predictions of any black-box machine learning classifier or regressor by approximating the model locally with a…
Induction Headsv6Induction heads are a circuit pattern in Transformer language models in which a small set of attention heads, typically spread across two layers, perform an in-context "match and copy" operation that completes…
Zero Moment Point (ZMP)v6The Zero Moment Point (ZMP) is the point on the ground where the horizontal component of the moment generated by the contact reaction force vanishes, leaving only a vertical reaction.
Perplexity Cometv8Comet is an AI-powered, agentic web browser developed by Perplexity AI. It is built on the Chromium open-source project and ships with an integrated AI assistant that can summarise pages, answer questions…
Checkpointv11In machine learning, a checkpoint is a saved snapshot of a model's state captured at a specific point during the training process, used to resume training, recover from failures, or deploy and fine-tune the…
Prompt engineering for text generationv8Prompt engineering for text generation is the practice of designing the natural-language input (the prompt) given to a large language model so that it produces the desired text output
Iterationv7An iteration in machine learning is a single update of a model's parameters during training, performed by processing one batch of data: the model makes predictions on the batch (a forward pass), computes the…
Similarity Measurev10A similarity measure (also called a similarity function or similarity metric) is a real-valued function that quantifies the degree of resemblance between two objects, returning a large value when the objects…
Average Precisionv9Average precision (AP) is an evaluation metric that summarizes the precision-recall curve of a ranked list into a single number between 0 and 1, equal to the area under that curve.
RULER (benchmark)v8RULER is a synthetic benchmark from NVIDIA that measures the real, usable context window of large language models (LLMs) by testing them on 13 tasks across four categories (retrieval, multi-hop tracing…
Item matrixv9In collaborative filtering and matrix factorization recommender systems, the item matrix (commonly written V, sometimes Q or H) is the matrix of latent-factor vectors for items: each row holds one item's…
DoRA (Weight-Decomposed Low-Rank Adaptation)v7DoRA (Weight-Decomposed Low-Rank Adaptation) is a parameter-efficient fine-tuning (PEFT) method for large neural networks introduced in February 2024 by researchers from NVIDIA, the Hong Kong University of…
Undersamplingv7Undersampling is a class imbalance handling technique in machine learning that removes examples from the majority class of a training set so the minority class is no longer drowned out.
CART algorithmv5The CART algorithm (Classification And Regression Trees) is a non-parametric supervised learning method that builds a binary decision tree from labelled training data, using Gini impurity to split…
Integrated Gradientsv5Integrated Gradients (IG) is a feature-attribution method for explainable AI that explains a neural network prediction by assigning each input feature an importance score
ChatGPT Agentv9ChatGPT Agent was an agentic feature of ChatGPT from Sam Altman's OpenAI that gives the chatbot its own virtual computer (complete with a graphical browser, a text browser, a Linux-style terminal, code…

Wednesday, June 24, 2026

Weak supervisionv5Weak supervision is a machine learning paradigm in which models are trained from noisy, limited, imprecise, or programmatically generated labels rather than from large, expensively hand annotated datasets.
SARSA (State-Action-Reward-State-Action)v6SARSA (State-Action-Reward-State-Action) is an on-policy temporal-difference (TD) control algorithm that learns the action-value function Q^pi(s, a) of the policy an agent is actually following
Manifold Learningv4Manifold learning is a class of nonlinear dimensionality reduction techniques in machine learning and statistics that recover a low-dimensional structure assumed to lie within high-dimensional data, producing…
Polysemanticityv7Polysemanticity is the phenomenon in artificial neural networks in which a single neuron (or directional unit such as an attention head) activates strongly for multiple, semantically unrelated inputs or…
K-Humanoid Alliance

NewerPage 40 of 50Older

The K-Humanoid Alliance (Korean: 케이-휴머노이드 연합) is a South Korean industry-academia-government consortium for developing humanoid robots and the artificial intelligence that controls them.

OpenAI AgentKitv6OpenAI AgentKit is a suite of agent-building tools that OpenAI introduced at OpenAI DevDay on 6 October 2025 to take AI agents from prototype to production on OpenAI's hosted models.

Dense Featurev9A dense feature is a feature in machine learning whose vector representation consists mostly or entirely of non-zero values, typically stored as a dense numeric array (a vector or tensor) of floating-point…

Calibration Layerv8A calibration layer is a post-prediction adjustment appended to a trained machine learning model that rescales its raw output scores or predicted probabilities so they better reflect the true likelihood of…

Representationv7A representation in machine learning is the format in which a data example is encoded before a model processes it: the same image can be represented as raw pixels, a list of hand-designed measurements, or a…

Julia (programming language)v6Julia is a high-level, high-performance, dynamically typed programming language built for technical computing, scientific computing, machine learning, and numerical analysis.

Dense Passage Retrieval (DPR)v5Dense Passage Retrieval (DPR) is a neural information retrieval method that uses a dual-encoder BERT architecture to map questions and passages into dense vectors

CLIP Scorev9CLIP Score (also written CLIPScore or CLIP-S) is a reference-free automatic evaluation metric that measures how well a text caption matches an image, computed as the rescaled cosine similarity of the image and…

Constitutional Classifiersv5Constitutional Classifiers are a machine learning-based safety technique developed by Anthropic to defend large language models against universal jailbreak attacks.

BigGANv4BigGAN is a class-conditional generative adversarial network that, when introduced by DeepMind researchers Andrew Brock, Jeff Donahue, and Karen Simonyan in 2018, set a new state of the art for AI image…

RWKV-7 (Goose)v4RWKV-7, codenamed Goose, is an attention-free, RNN-style large-language-model architecture introduced in March 2025 that runs inference in linear time with constant memory per token while still training in…

AWS Trainium 3v7AWS Trainium 3 (also written as Trainium3 and abbreviated Trn3) is the third-generation custom AI training and inference accelerator from Amazon Web Services, designed by Amazon's in-house chip team Annapurna…

Wolfram GPTv5Wolfram GPT is the integration of Wolfram|Alpha and the Wolfram Language with OpenAI's ChatGPT, giving the language model on-demand access to authoritative computational knowledge, real-time data feeds…