Thursday, July 23, 2026
- AutoML (Automated Machine Learning)v4AutoML (Automated Machine Learning) is the automation of the end-to-end pipeline of applying machine learning to real-world data, replacing manual trial and error with a formal search over data preprocessing…
- Product quantizationv4Product quantization (PQ) is a vector-compression technique for approximate nearest-neighbor (ANN) search that splits each high-dimensional vector into M equal sub-vectors and quantizes each sub-vector with…
- Doosan Roboticsv3Doosan Robotics Inc. is a South Korean robotics company that designs and manufactures collaborative robots (cobots) for industrial, food-service, and emerging humanoid applications.
- Commonsense reasoningv3Commonsense reasoning is the ability to make the everyday, mostly tacit assumptions that ordinary humans take for granted, the implicit knowledge about how the physical world behaves, how minds work, how time…
- TensorFlow.jsv3TensorFlow.js (often abbreviated TFJS) is an open-source JavaScript library developed by Google for defining, training, and running machine learning models entirely in the web browser, in Node.js, and on…
- AI Fairness 360 (AIF360)v3AI Fairness 360, abbreviated AIF360, is an open-source Python and R toolkit, originally created by IBM Research and released in September 2018, that detects and mitigates unwanted bias in machine learning…
- Systolic arrayv3A systolic array is a parallel computer architecture in which a regular grid of identical, tightly coupled processing elements (PEs) rhythmically pumps data through the array under a global clock, with each PE…
- Motion planningv3Motion planning is the computational problem of finding a sequence of valid configurations or controls that moves a robot (or another articulated or dynamical system) from a start state to a goal state while…
- Bipedal locomotionv6Bipedal locomotion is movement powered by two legs, and in robotics it is the control problem of building machines that walk, run, balance, climb stairs, and recover from disturbances on two legs.
- Future of Humanity Institute (FHI)v4The Future of Humanity Institute (FHI) was a multidisciplinary research institute at the University of Oxford that studied existential risk, the long-term future of humanity, and the transformative potential…
- Wasserstein GAN (WGAN)v4A Wasserstein GAN (WGAN) is a generative adversarial network that trains its two networks to minimise the Wasserstein-1 distance, also called the Earth mover's distance, between the real data distribution and…
- Mask R-CNNv4Mask R-CNN is a deep convolutional neural network for instance segmentation, introduced in 2017 by Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick at Facebook AI Research (FAIR).
- Boltzmann machinev3A Boltzmann machine is a stochastic, recurrent neural network of symmetrically connected binary units that defines an energy function over its configurations and assigns each configuration a probability…
- Sebastian Thrunv3Sebastian Thrun (born May 14, 1967) is a German-American computer scientist, roboticist, and entrepreneur best known for leading the Stanford team that won the 2005 DARPA Grand Challenge with the autonomous…
- Statistical learning theoryv5Statistical learning theory (SLT) is the mathematical framework that explains when and why machine learning algorithms generalize from a finite training sample to unseen data.
- ACM A.M. Turing Awardv5The ACM A.M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for, in the words of the official citation, "contributions of lasting and major technical importance to the…
- Masked autoencoder (MAE)v3Masked autoencoder (MAE) is a self-supervised learning method for vision transformers that masks roughly 75% of an input image's patches and trains a network to reconstruct the missing pixels from the small…
- GPT-Jv3GPT-J (full release name GPT-J-6B) is a 6-billion-parameter autoregressive transformer language model released by the EleutherAI collective on June 9, 2021, and first announced in a blog post dated June 4
- Sensor fusionv3Sensor fusion is the process of combining data from multiple sensors, often of different types, to produce information that is more accurate, complete, or reliable than any single sensor could provide on its…
- Replikav3Replika is an artificial intelligence companion chatbot developed and operated by Luka Inc., a San Francisco company founded in 2014 by Eugenia Kuyda and Phil Dudchuk.
- C4 (Colossal Clean Crawled Corpus)v4C4 (Colossal Clean Crawled Corpus) is a roughly 750 GB, cleaned, English-language web text dataset of about 365 million documents and 156 billion tokens that Google created from the April 2019 Common Crawl…
- Faster R-CNNv3Faster R-CNN is a two-stage object detection model introduced by Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun in the 2015 NeurIPS paper Faster R-CNN: Towards Real-Time Object Detection with Region…
- Maximum likelihood estimation (MLE)v3Maximum likelihood estimation (MLE) is the method of choosing the parameters of a probability model so that they make the observed data as probable as possible: given a parametric model with density (or mass)…
- Instance segmentationv4Instance segmentation is the computer vision task of detecting every object instance in an image and producing a pixel-precise mask for each one
- LVIS (Large Vocabulary Instance Segmentation)v3LVIS (Large Vocabulary Instance Segmentation, pronounced "el-vis") is a large-scale instance segmentation benchmark for computer vision that targets the long-tailed regime of object detection.
- Saliency mapv3A saliency map is an explainable AI visualization that highlights which parts of an input, most often the individual pixels of an image, most influenced a deep learning model's prediction.
- Latent semantic analysis (LSA)v4Latent semantic analysis (LSA), called latent semantic indexing (LSI) in information retrieval contexts, is an unsupervised technique that maps both terms and documents into a shared low-dimensional vector…
- SARSA (State-Action-Reward-State-Action)v4SARSA (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
- LLaVA (Large Language and Vision Assistant)v5LLaVA (Large Language and Vision Assistant) is an open-source family of multimodal large language models that connects a frozen vision encoder to a pre-trained large language model through a single learned…
- MediaPipev4MediaPipe is an open-source, cross-platform framework from Google for building on-device machine learning pipelines that process video, audio, and other streaming data in real time.
- Causal inferencev4Causal inference is the field of study concerned with drawing conclusions about cause-and-effect relationships from data, answering questions of the form "what would happen to outcome Y if we intervened on…
- Feature storev3A feature store is a centralised data system that stores, serves, discovers, shares, monitors and reuses machine-learning features, separating feature computation from model training and inference so the same…
- AdaBoostv4AdaBoost (short for Adaptive Boosting) is a machine learning ensemble algorithm that combines many weak classifiers into a single strong classifier through a weighted majority vote, training the weak learners…
- Tanh (hyperbolic tangent)v4The hyperbolic tangent, written tanh, is a smooth, S-shaped activation function that maps any real number into the open interval $$(-1, 1)$$, passing through the origin so that tanh(0) = 0 .
- TensorFlow Lite (LiteRT)v4TensorFlow Lite, rebranded as LiteRT (short for Lite Runtime) on September 4, 2024, is Google's open-source, on-device inference runtime that runs trained machine-learning models locally on mobile, embedded…
- Cost-sensitive learningv3Cost-sensitive learning is a family of machine learning methods that minimise the expected misclassification cost rather than the misclassification rate
- 80,000 Hoursv480,000 Hours is a non-profit organisation that produces free research and advice on how to use a career to do the most good, working within the effective altruism tradition.
- WordPiecev3WordPiece is a subword tokenization algorithm that builds a fixed-size vocabulary of word pieces by repeatedly merging the symbol pair whose combination most increases the likelihood of the training corpus…
- Toby Ordv3Toby Ord is an Australian moral philosopher at the University of Oxford who founded the effective-altruism organisation Giving What We Can in 2009 and wrote the 2020 book The Precipice: Existential Risk and…
- NVIDIA A100v6The NVIDIA A100 Tensor Core GPU is a datacenter graphics processing unit that NVIDIA introduced on May 14, 2020 as the first product built on its Ampere architecture, and that became the dominant chip for…
- Netflix Prizev3The Netflix Prize was an open machine learning competition, run by Netflix from October 2, 2006 to September 21, 2009, that offered US$1,000,000 to the first team that could improve the accuracy of Netflix's…
- General Data Protection Regulation (GDPR)v4The General Data Protection Regulation (GDPR), formally Regulation (EU) 2016/679, is the European Union law that governs how the personal data of individuals in the EU and European Economic Area (EEA) is…
- Layer-wise Relevance Propagation (LRP)v3Layer-wise Relevance Propagation (LRP) is an explainable AI method that explains the prediction of a deep neural network by propagating the model's output backward through the network, layer by layer, and…
- NVLinkv4NVLink is NVIDIA's proprietary high-bandwidth, low-latency, cache-coherent point-to-point interconnect for directly connecting GPUs to other GPUs and, in some configurations, to host CPUs.
- Iris datasetv3The Iris dataset, sometimes referred to as Fisher's Iris dataset or the Iris flower dataset, is a multivariate dataset introduced by the British statistician and biologist Ronald Fisher in his 1936 paper "The…
- DeepLIFTv3DeepLIFT (Deep Learning Important FeaTures) is a feature attribution method for deep neural networks introduced by Avanti Shrikumar, Peyton Greenside, and Anshul Kundaje at Stanford University in 2017 .
- Linear Discriminant Analysisv3Linear Discriminant Analysis (LDA) is a classical statistical method for classification and dimensionality reduction that finds the linear combination of features which best separates two or more classes by…
- William MacAskillv4William David MacAskill (born William Crouch; 24 March 1987) is a Scottish moral philosopher, author, and a co-founder of the effective altruism movement, best known as the leading public proponent of…
- Cycv3Cyc (pronounced "psyche", from "encyclopedia") is a long-running symbolic AI project that aims to assemble a comprehensive ontology and knowledge base of common-sense facts and reasoning rules, encoded by hand…
- DistilBERTv4DistilBERT is a compressed version of BERT released by Hugging Face in October 2019 that is 40% smaller and 60% faster than BERT-base while retaining 97% of its language-understanding performance on the GLUE…
- Gerald Jay Sussmanv4Gerald Jay Sussman (born February 8, 1947) is an American computer scientist and the Panasonic Professor of Electrical Engineering (formerly the Matsushita Professor) at the Massachusetts Institute of…
- Common Lispv3Common Lisp is the ANSI-standardized dialect of the Lisp family and was, from the late 1980s through the early 1990s, the dominant programming language of symbolic AI research.
- Amnon Shashuav4Amnon Shashua (born May 26, 1960) is an Israeli computer scientist and serial technology entrepreneur who is the Sachs Professor of Computer Science at the Hebrew University of Jerusalem and the co-founder…
- HNSWv4Hierarchical Navigable Small World (HNSW) is an approximate nearest-neighbor search algorithm that indexes high-dimensional vectors in a multi-layer proximity graph and answers similarity queries in expected…
- QLoRAv7QLoRA (Quantized Low-Rank Adaptation) is a parameter-efficient fine-tuning method that finetunes a 65-billion-parameter large language model on a single 48 GB GPU while matching the quality of full 16-bit…
- Amazon SageMakerv7Amazon SageMaker is Amazon Web Services' fully managed machine learning platform for building, training, and deploying models at scale, first launched at AWS re:Invent on November 29, 2017 and rebranded in…
- ControlNetv4ControlNet is a neural network architecture that adds spatial and structural control to large pretrained text-to-image diffusion models.
- Nate Soaresv2Nate Soares (sometimes credited as Nathan Soares) is an American computer scientist and AI safety researcher who serves as president of the Machine Intelligence Research Institute (MIRI), a nonprofit research…
- Algorithmic fairnessv4Algorithmic fairness is the study of how automated decision systems can be made to produce decisions that are equitable across protected attributes such as race, gender, age, religion, and disability.
- Snorkelv3Snorkel is an open-source software framework and methodology for programmatic data labeling that started at Stanford University in 2015 and is licensed under Apache 2.0 .
- Focal lossv5Focal loss is a loss function that reshapes standard cross-entropy loss by adding a (1 - p_t)^gamma modulating factor, which down-weights well-classified (easy) examples so that training concentrates on hard
- ICMLv4ICML, the International Conference on Machine Learning, is one of the three top-tier academic conferences in machine learning, alongside NeurIPS and ICLR, and is organized annually by the International Machine…
- Information theoryv4Information theory is the mathematical study of the quantification, storage, and communication of information, founded by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication." Shannon…
- Cloud computingv3Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, delivered over the internet without active management by the end user.
- Concept driftv5Concept drift is the change over time in the statistical relationship between a model's inputs and its target, formally when the joint distribution P(X, Y) (and in the most damaging case the conditional P(Y |…
- Fully Sharded Data Parallel (FSDP)v4Fully Sharded Data Parallel (FSDP) is a distributed training technique implemented in PyTorch that shards a model's parameters, gradients, and optimizer states across data-parallel workers, allowing models…
- Markov Chain Monte Carlov4Markov Chain Monte Carlo (MCMC) is a class of algorithms for drawing samples from a probability distribution by constructing a Markov chain whose stationary distribution equals the target distribution .
- Gaussian Processv4A Gaussian process (GP) is a probabilistic machine learning model defined as a collection of random variables, any finite number of which have a joint Gaussian distribution.
- PASCAL VOCv3PASCAL VOC (Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes) is a long-running benchmark dataset and annual challenge for object recognition, object detection…
- CART algorithmv3The 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…
- fastTextv4fastText is an open-source library for learning word embeddings and performing text classification, developed by Facebook AI Research (FAIR) and released to the public on August 18, 2016 .
- Nick Bostromv3Nick Bostrom (born Niklas Boström, 10 March 1973) is a Swedish-born philosopher best known for the 2014 book Superintelligence: Paths, Dangers, Strategies, the 2003 simulation argument, and the…
- Variational Inferencev4Variational inference (VI), also called variational Bayes (VB), is a method in machine learning and statistics that approximates an intractable posterior distribution by turning Bayesian inference into an…
- Effective Altruismv3Effective altruism (often abbreviated EA) is a philosophical and social movement that uses evidence and careful reasoning to identify the most effective ways to benefit others
- Model Predictive Controlv4Model Predictive Control (MPC), also called receding horizon control (RHC), is a feedback control method that, at every sampling instant, solves a finite horizon optimal control problem using the current…
- Bayes' theoremv4Bayes' theorem (also called Bayes' rule or Bayes' law) is a fundamental theorem of probability theory that describes how to update the probability of a hypothesis given new evidence.
- Marvin Minskyv4Marvin Lee Minsky (August 9, 1927 to January 24, 2016) was an American cognitive scientist and computer scientist who was one of the founders of artificial intelligence as a field, co-founded the MIT…
- Sentence-BERT (SBERT)v3Sentence-BERT (SBERT) is a modification of the pretrained BERT transformer network that produces semantically meaningful, fixed-size sentence embeddings comparable with simple cosine similarity.
- Integrated Gradientsv3Integrated Gradients (IG) is a feature-attribution method for explainable AI that explains a neural network prediction by assigning each input feature an importance score
- Monte Carlo Tree Searchv6Monte Carlo Tree Search (MCTS) is a heuristic search algorithm for sequential decision-making that finds strong actions by running many simulated playthroughs of a problem and aggregating their outcomes into a…
- DARPA (Defense Advanced Research Projects Agency)v4The Defense Advanced Research Projects Agency (DARPA) is the central research and development agency of the United States Department of Defense, responsible for funding high-risk
- John McCarthyv3John McCarthy (September 4, 1927 to October 24, 2011) was an American computer scientist who coined the term "artificial intelligence" in 1955, organized the 1956 Dartmouth Conference that founded the field…
- BART (language model)v4BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
- Chinchillav7Chinchilla is a 70-billion-parameter transformer large language model and an accompanying family of compute-optimal scaling laws, both introduced in the March 2022 paper Training Compute-Optimal Large Language…
- VGGNetv3VGGNet is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at the University of Oxford, that classifies images using a…
- Yaskawa Electricv4Yaskawa Electric Corporation (株式会社安川電機, Kabushiki-gaisha Yasukawa Denki) is a Japanese industrial automation company, founded in 1915 and headquartered in Kitakyushu, Fukuoka Prefecture, that is one of the…
- Gazebo Simulatorv3Gazebo 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.
- Quadruped Robotv5A quadruped robot is a four-legged robotic system that uses dynamic, articulated legs to walk, trot, run, climb, and traverse uneven terrain.
- Eliezer Yudkowskyv3Eliezer Shlomo Yudkowsky (born September 11, 1979) is an American artificial intelligence researcher, decision theorist, and writer who founded the modern AI alignment research field and is the most prominent…
- CatBoostv3CatBoost is an open-source gradient boosted decision trees library developed by Yandex and released to the public on July 18, 2017 .
- LangGraphv5LangGraph is an open-source low-level orchestration library for building stateful, multi-actor applications powered by large language models.
- Two-Tower Modelv5The two-tower model, also known as the dual encoder, bi-encoder, or Siamese network for retrieval, is a neural network architecture that encodes a query and a candidate item with two separate sub-networks…
- Zhejiang Universityv5Zhejiang University (浙江大学, Zhèjiāng Dàxué), often abbreviated as ZJU or Zheda, is a public research university in Hangzhou
- Semantic Segmentationv5Semantic segmentation is a computer vision task that assigns a category label to every single pixel in an image, producing a dense map in which each pixel carries the identity of the object class it belongs to.
- Open Philanthropyv3Open Philanthropy (renamed Coefficient Giving in November 2025) is an American grantmaking organization headquartered in San Francisco, California, that is the largest single private funder of artificial…
- ABBv4ABB Ltd is a Swiss-Swedish multinational corporation headquartered in Zurich, Switzerland, and one of the largest industrial technology companies in the world, with about $32.9 billion in revenue in 2024 and…
- MuZerov5MuZero is a model-based reinforcement learning algorithm developed by DeepMind that masters Go, chess, shogi, and 57 Atari video games at superhuman or state of the art level without ever being told the rules…
- Fraud Detection (AI)v4Fraud detection is the application of statistical analysis, machine learning, and rules-based logic to identify illegitimate activity inside payment systems, customer accounts, insurance claims, advertising…
- GloVe (Global Vectors for Word Representation)v5GloVe (Global Vectors for Word Representation) is an unsupervised learning algorithm that turns words into dense numeric vectors by factorizing a word-word co-occurrence matrix built from a large text corpus.
- KAIST (Korea Advanced Institute of Science and Technology)v3KAIST, formally the Korea Advanced Institute of Science and Technology (Korean: 한국과학기술원), is South Korea's leading national research university for science, engineering, and artificial intelligence, based in…
