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HomeUpdates

Updates

472 articles changed in the last 30 days; 32 are new in the last 7 days. Newest articles first, by the date they were published. Page 28 of 47.

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Friday, May 1, 2026

  • SSD (Single Shot MultiBox Detector)v3SSD (Single Shot MultiBox Detector) is a single stage object detection model that predicts bounding boxes and per class confidence scores in one forward pass through a convolutional network
  • StyleGANv3StyleGAN is a family of style-based generative adversarial network (GAN) architectures developed by NVIDIA Research for high-quality unconditional image synthesis
  • CycleGANv3CycleGAN (Cycle-Consistent Generative Adversarial Network) is a deep learning architecture for unpaired image-to-image translation.

Thursday, April 30, 2026

  • Sundar Pichaiv4Sundar Pichai (Pichai Sundararajan, born June 10, 1972) is the chief executive officer of Google and its parent holding company Alphabet Inc., and the executive who led Google's pivot from a "mobile-first" to…
  • Domain adaptationv3Domain adaptation is the subfield of transfer learning that adapts a model trained on a labelled source domain so it performs well on a related but different target domain, where labels are scarce or absent
  • Uncanny valleyv3The uncanny valley is the dip in human affinity that occurs when a robot, computer-generated character, or other artificial figure looks and moves almost like a real person but not quite, triggering a sudden…
  • Kai-Fu Leev4Kai-Fu Lee (Chinese: 李開復; born December 3, 1961) is a Taiwanese-American computer scientist, venture capitalist, and author who is the founder and CEO of 01.AI, the Beijing large language model startup behind…
  • Neuralink

Tuesday, April 28, 2026

  • 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…
  • 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.
  • SoftBank Groupv8SoftBank Group Corp. (Japanese: ソフトバンクグループ株式会社) is a Japanese multinational holding conglomerate headquartered at the Tokyo Shiodome City Center in Minato, Tokyo.
  • Homoiconicityv4Homoiconicity is a property of a programming language in which the program itself is represented as an ordinary data structure of the language, so that code can be read, generated, and transformed at runtime…
  • Multiple dispatchv4
NewerPage 28 of 47Older
v6
Neuralink Corp. is an American neurotechnology company that builds high-bandwidth, fully implantable brain-computer interfaces (BCIs).
  • Skild AIv11Skild AI is a robotics artificial intelligence company building a general-purpose foundation model for physical embodiments
  • PyTorch Lightningv6PyTorch Lightning is an open-source deep-learning framework, created by William Falcon in 2019, that wraps PyTorch to abstract away the engineering boilerplate of training loops, distributed training, mixed…
  • Calibration (machine learning)v8Calibration in machine learning is the property that the probability scores produced by a probabilistic classifier match the empirical frequency of the predicted event: a model that assigns a confidence of 0.8…
  • NVIDIA H200v7The NVIDIA H200 is a data center Tensor Core GPU for AI and high-performance computing that was the first GPU to ship with HBM3e memory, packing 141 GB at 4.8 TB/s on its SXM and NVL boards.
  • Natural language inference (NLI)v3Natural language inference (NLI), also known as recognising textual entailment (RTE), is the natural language processing task of deciding whether a hypothesis sentence is entailed by, contradicts, or is…
  • Fairlearnv3Fairlearn is an open-source Python toolkit for assessing and improving the fairness of machine-learning models with respect to sensitive attributes such as race, gender, or age.
  • Differential privacyv5Differential privacy is a mathematical definition of privacy that guarantees the output of an analysis is essentially unchanged whether or not any single individual's record is included in the input
  • Gemini (app)v4The Gemini app is Google's consumer AI assistant, a chat application available on the web at gemini.google.com and as native Android and iOS apps
  • Bayesian networkv3A Bayesian network (also called a belief network, Bayes net, directed graphical model, or probabilistic causal network) is a probabilistic graphical model that represents a set of random variables and their…
  • Actor modelv3The actor model is a mathematical model of concurrent computation whose universal primitive is the actor: an autonomous, isolated entity that owns private state and communicates with other actors only by…
  • Hikvisionv6Hangzhou Hikvision Digital Technology Co., Ltd. (Chinese: 杭州海康威视数字技术股份有限公司), commonly known as Hikvision, is a Chinese state-controlled multinational manufacturer of video surveillance equipment and a major…
  • Dynamic inferencev3Dynamic inference, also called input-adaptive inference, conditional computation, or adaptive computation
  • 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.
  • Cognitive roboticsv3Cognitive robotics is the subfield of robotics and artificial intelligence concerned with endowing robots with higher-level cognitive capabilities: perception, attention, memory, reasoning, knowledge…
  • Voyage AIv4Voyage AI is an artificial intelligence company that builds state-of-the-art embedding and reranking models for retrieval-augmented generation and semantic search.
  • GPT4Allv3GPT4All is an open-source ecosystem from Nomic AI for running large language models locally and privately on consumer laptops and desktops, with no internet connection, GPU, or API key required.
  • OpenPosev3OpenPose is an open-source library for real-time multi-person 2D pose estimation that detects body, foot, hand, and facial keypoints in images and video.
  • Systolic arrayv4A 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • Diffusion Transformer (DiT)v6A Diffusion Transformer (DiT) is a transformer-based neural network backbone for diffusion models that replaces the U-Net with a Vision Transformer operating on patches of an image latent.
  • Responsible Scaling Policyv8A Responsible Scaling Policy (RSP) is a self-imposed governance framework in which a frontier AI developer commits in advance to safety practices, capability evaluations, deployment restrictions, and security…
  • 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.
  • 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).
  • 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…
  • 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.
  • 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…
  • 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…
  • 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…
  • InstructGPTv7InstructGPT is a family of language models released by OpenAI in January 2022 that take the base GPT-3 and fine-tune it to follow user instructions more helpfully, truthfully, and with less toxic output, using…
  • 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
  • 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.
  • NVIDIA Isaac Labv6NVIDIA Isaac Lab is an open-source, GPU-accelerated framework for robot learning that trains robot control policies at scale by running thousands of physics simulations in parallel on a single graphics card
  • 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…
  • 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…
  • Sebastian Thrunv4Sebastian 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…
  • 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…
  • 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.
  • 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…
  • 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…
  • 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…
  • 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
  • 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…
  • 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
  • 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.
  • 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)…
  • 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…
  • TSMC (Taiwan Semiconductor Manufacturing Company)v6Taiwan Semiconductor Manufacturing Company (TSMC) is the world's largest dedicated semiconductor foundry and the company that physically manufactures the overwhelming majority of advanced AI chips, including…
  • 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
  • NCCL (NVIDIA Collective Communications Library)v5NCCL, the NVIDIA Collective Communications Library, is a library of topology-aware communication primitives for NVIDIA GPU systems.
  • 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…
  • 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…
  • Cost-sensitive learningv3Cost-sensitive learning is a family of machine learning methods that minimise the expected misclassification cost rather than the misclassification rate
  • 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…
  • AWS Trainiumv7AWS Trainium is a family of custom machine learning accelerator chips designed by Annapurna Labs for Amazon Web Services, purpose-built for training and, increasingly, for serving large neural networks.
  • 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.
  • 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…
  • Multiple dispatch (also called multimethods) is a programming-language feature in which the implementation of a function or method is selected at run time from the types of all of its arguments
  • Julia (programming language)v4Julia is a high-level, high-performance, dynamically typed programming language built for technical computing, scientific computing, machine learning, and numerical analysis.
  • 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…
  • 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.
  • 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • Vercelv5Vercel (originally ZEIT) is an American cloud platform-as-a-service (PaaS) company headquartered in San Francisco, California, best known as the creator of Next.js and as a hosting platform for modern frontend…
  • Firebasev6Firebase is a backend-as-a-service (BaaS) platform developed by Google. It began in 2012 as a real-time database product launched by Andrew Lee and James Tamplin and was acquired by Google on October 21, 2014.
  • 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…
  • Clojurev4Clojure is a dynamic, general-purpose, functional programming language and a modern dialect of Lisp, created by Rich Hickey and first released on October 16, 2007.
  • Schemev4Scheme is a minimalist, multi-paradigm programming language and a dialect of Lisp, created in 1975 by Guy L. Steele Jr. and Gerald Jay Sussman at the MIT Artificial Intelligence Laboratory.
  • 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.
  • Supabasev7Supabase is an open-source backend-as-a-service (BaaS) platform that bundles a hosted PostgreSQL database with authentication, file storage, real-time subscriptions, edge functions, and vector similarity…
  • 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…
  • Apple Vision Prov5Apple Vision Pro is a mixed-reality headset developed by Apple Inc. that the company markets under the term "spatial computing" rather than as a virtual or augmented reality device.
  • Lispv4Lisp (historically LISP, an acronym for "LISt Processor") is a family of programming languages, specified in 1958 by John McCarthy at the Massachusetts Institute of Technology
  • NVIDIA H100v10NVIDIA H100 (also called the H100 Tensor Core GPU) is a data-center graphics processing unit built by NVIDIA on the Hopper microarchitecture, fabricated with over 80 billion transistors on a custom TSMC 4N (4…
  • SentencePiecev5SentencePiece is an open-source, language-agnostic subword tokenization library and detokenizer developed at Google and introduced by Taku Kudo and John Richardson in their 2018 EMNLP system demonstration…
  • 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…
  • 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…