Friday, July 24, 2026
- CHIPS and Science Actv1The CHIPS and Science Act is a United States federal law, enacted as Public Law 117-167 on August 9, 2022, that appropriated $52.7 billion for domestic semiconductor manufacturing, research, and workforce…
- Entity Listv1The Entity List is a US export control list maintained by the Bureau of Industry and Security (BIS), an agency of the Department of Commerce, and published as Supplement No. 4 to Part 744 of the Export…
- Fair usev1Fair use is a limitation on the exclusive rights of copyright owners in United States law, codified at 17 U.S.C. 107.
- Shapley valuev1The Shapley value is a rule from cooperative game theory for dividing the payoff of a group among its members.
- Behavioral Cloningv1Behavioral cloning is the approach to imitation learning that reduces control to a supervised learning problem.
- Brain-Computer Interfacev2A brain-computer interface (BCI), also called a brain-machine interface, is a system that measures activity in the nervous system and translates it into commands for an external device, bypassing muscles and…
- Connectionismv1Connectionism is an approach in cognitive science and artificial intelligence that explains mental phenomena as the collective behavior of large networks of simple, interconnected processing units.
- Visual question answeringv1Visual question answering (VQA) is the task of producing a natural-language answer to a natural-language question about an image.
- Data contaminationv1Data contamination is the presence of benchmark evaluation data in the corpus used to train a model
- Representation learningv1Representation learning is the area of machine learning concerned with getting a system to discover the features it needs for a task, instead of having people specify those features by hand.
- Next-token predictionv1Next-token prediction is the training objective used by most modern language models: the model reads a prefix of tokenized text, outputs a probability distribution over which token comes next, and training…
- Human-in-the-loopv1Human-in-the-loop (HITL) describes any arrangement in which a person is a required participant in an automated system's operating cycle rather than a bystander to it.
- Image classificationv1Image classification is the task of assigning a whole image to one category drawn from a fixed set of labels.
- Time Seriesv2A time series is a sequence of observations recorded in time order, often at regular intervals: daily retail sales, hourly electricity demand, per-minute server latency, quarterly GDP.
- Voice assistantv1A voice assistant is a software agent whose primary interface is spoken language: it listens for a trigger, converts speech to a machine-readable request, decides what the speaker wants, and answers with…
- On-device AIv1On-device AI is the practice of running machine learning models on the phone, laptop, watch, or embedded board a person is actually using, instead of sending the input to a remote data center.
- Top-k samplingv1Top-k sampling is a decoding strategy for autoregressive language models that restricts each generation step to the k most probable next tokens.
- Coreference Resolutionv1Coreference resolution is the natural language processing task of finding all the expressions in a text that refer to the same entity and grouping them together.
- Nash equilibriumv1A Nash equilibrium is a combination of strategies, one for each player in a game, such that no player can raise their own payoff by changing strategy alone while everyone else keeps theirs unchanged.
- Multi-armed banditv1A multi-armed bandit is a sequential decision problem in which a learner repeatedly picks one action from a fixed set, receives a random reward for that action only, and tries to accumulate as much reward as…
- Actor-critic methodsv1Actor-critic methods are a family of reinforcement learning algorithms that learn two things at once: a parameterized policy, called the actor, which chooses actions, and a value function, called the critic
- LLM Evaluationv1LLM evaluation is the practice of measuring what a large language model can do, how reliably it does it, and how it behaves under adversarial or high-stakes conditions.
- Warehouse automationv1Warehouse automation is the use of machinery, control software, and increasingly machine learning to move, store, sort, and pick goods inside distribution centers and fulfillment centers.
- Coding agentv1A coding agent is a software system that uses a large language model to carry out programming work by acting on a development environment rather than only producing text for a person to copy.
- AI Acceleratorv3An AI accelerator is hardware designed or configured to execute artificial intelligence and machine learning workloads more efficiently than a general-purpose processor executing the same workload without…
- VC dimensionv1The Vapnik-Chervonenkis dimension, almost always shortened to VC dimension, measures the capacity of a class of binary classifiers by asking how many points the class can label in every possible way.
- Neural Tangent Kernelv1The neural tangent kernel (NTK) is a kernel function built from the parameter gradients of a neural network.
- Conditional Random Fieldv1A conditional random field (CRF) is a discriminative probabilistic model for structured prediction, used most often to assign a label to every position in an input sequence.
- Distribution shiftv1Distribution shift is the condition in which the probability distribution that produced a model's training data differs from the distribution that produces the data the model actually encounters at test or…
- Knowledge representation and reasoningv1Knowledge representation and reasoning (often abbreviated KR&R, or just KR) is the branch of artificial intelligence concerned with encoding facts about the world in a form a machine can manipulate, and with…
- Latent Spacev1A latent space is the vector space a machine learning model maps its inputs into, where each input becomes a point (a latent vector or latent code) and the geometry of the space carries information the raw…
- Bioinformaticsv1Bioinformatics is the branch of science that builds computational methods, databases, and software for storing, searching, and interpreting biological data, above all the sequences of DNA, RNA, and proteins…
- Teleoperationv1Teleoperation is the operation of a machine by a human at a distance, with commands carried over a communication link and the machine's cameras, microphones and force sensors standing in for the operator's own…
- Protein language modelv1A protein language model (pLM) is a neural network trained on raw amino acid sequences using the same self-supervised objectives that power text models, with individual amino acids serving as tokens instead of…
- Quantum computingv1Quantum computing is a model of computation that stores and manipulates information in quantum mechanical systems, using superposition, entanglement, and interference to solve certain problems with far fewer…
- Matrix multiplicationv2Matrix multiplication combines an M by K matrix A with a K by N matrix B to produce an M by N matrix C
- Algorithmic biasv1Algorithmic bias is the tendency of a computer system to produce systematic, repeatable errors that advantage some groups of people over others.
- Robostral Navigatev1Robostral Navigate is an 8-billion-parameter vision language model developed by Mistral AI for instruction-following robot navigation.
- OpenAI Presencev1OpenAI Presence is a managed enterprise platform from OpenAI for deploying governed AI agents in customer-facing and internal workflows.
- Jalapeño (OpenAI chip)v2Jalapeño is a custom AI accelerator designed by OpenAI with silicon implementation and networking technology from Broadcom.
- NVIDIA OSMOv1NVIDIA OSMO is an open-source workflow orchestration platform developed by Nvidia for physical AI and robotics development.
- North Mini Codev1North Mini Code is an open-weight large language model developed by Cohere for agentic software development and AI code generation.
- Muse Imagev1Muse Image is a proprietary image-generation and editing system developed by Meta Superintelligence Labs, a division of Meta.
- Mistral Vibev1Mistral Vibe is a unified AI assistant and agent from Mistral AI for professional work, software development, and conversational tasks.
- Mistral OCR 4v1Mistral OCR 4 is a proprietary document extraction model and service developed by Mistral AI. Released on June 23, 2026, it converts documents and page images into Markdown and structured layout data.
- Mistral Forgev1Mistral Forge, branded by its developer simply as Forge, is an enterprise platform and engineering service from Mistral AI for building custom large language models and related multimodal models on an…
- Meta Model APIv2Meta Model API is a hosted artificial-intelligence inference service from Meta Superintelligence Labs. Meta opened it in public preview on July 9, 2026, with Muse Spark 1.1 as its initial model.
- Leanstral 1.5v1Leanstral 1.5 is an open-weight model from Mistral AI for formal proof engineering in Lean 4.
- NVIDIA Jetson T4000v1NVIDIA Jetson T4000 is a commercial system-on-module developed by Nvidia for edge AI and robotics. It is a member of the NVIDIA Jetson Thor family and became available on January 5, 2026.
- NVIDIA Isaac Lab-Arenav1NVIDIA Isaac Lab-Arena is an open-source framework for composing simulated robot tasks and evaluating learned policies at scale.
- NVIDIA Isaac GR00T N1.6v1NVIDIA Isaac GR00T N1.6 is a 3-billion-parameter vision-language-action model and cross-embodiment robot foundation model developed by Nvidia.
- Grok 4.5v5Grok 4.5 is a proprietary multimodal large language model and reasoning model in the Grok family. It was developed by SpaceXAI in collaboration with Cursor and released through the xAI API on July 8, 2026.
- GPT-Livev5GPT-Live is a family of full-duplex voice models developed by OpenAI for continuous spoken interaction.
- GPT-5.6v10GPT-5.6 is a family of proprietary multimodal large language models developed by OpenAI. The family entered a limited preview on June 26, 2026, and became generally available on July 9, 2026.
- Generalist GEN-1v2GEN-1 is an embodied robot foundation model and control system developed by Generalist AI.
- Gemini Omniv1Gemini Omni is a family of proprietary multimodal AI models from Google DeepMind for generating and editing media.
- Gemini 3.6 Flashv2Gemini 3.6 Flash is a proprietary, multimodal large language model released by Google on July 21, 2026. It belongs to the Gemini 3 series and uses the stable API identifier gemini-3.6-flash.
- DiffusionGemmav3DiffusionGemma is an experimental open-weight large language model developed by Google DeepMind for multimodal text generation through discrete diffusion.
- Cohere Transcribev2Cohere Transcribe is a family of automatic speech recognition models developed by Cohere and Cohere Labs.
- Claude Tagv2Claude Tag is a team-oriented agent product from Anthropic that places Claude inside Slack as a shared AI agent.
- Health in ChatGPTv2Health in ChatGPT, first introduced as ChatGPT Health, is a consumer health and wellness feature inside ChatGPT from OpenAI.
- Brain2Qwertyv2Brain2Qwerty is a research program in non-invasive brain-computer interfaces for decoding typed language from recordings of brain activity.
- Apollo 2v3Apollo 2 is a modular humanoid robot platform developed by Apptronik for industrial pilots, robotics data collection, and embodied-AI research.
- AgiBot A3v4AgiBot A3, also marketed in China as Zhiyuan Expedition A3, is a full-size bipedal humanoid robot from AgiBot.
- Sinovation Venturesv1Sinovation Ventures is a China-focused venture capital firm founded in 2009 by a team led by Kai-Fu Lee.
- Distributionally Robust Optimizationv1Distributionally robust optimization (DRO) is a framework for making decisions when the probability distribution of uncertain inputs is not known exactly.
- YOLOv8v1YOLOv8 is a family of one-stage computer vision models released by Ultralytics on January 10, 2023.
- Agent57v1Agent57 is a model-free distributed reinforcement learning algorithm developed by Google DeepMind and reported in 2020.
- Adobe Senseiv1Adobe Sensei was the umbrella name that Adobe used for a shared framework, services, and product features based on artificial intelligence and machine learning.
- Hanna Hajishirziv1Hanna Hajishirzi, whose scholarly publications generally use the name Hannaneh Hajishirzi, is a computer scientist whose research covers natural language processing, machine learning, generative AI, question…
- Series Elastic Actuatorv1A series elastic actuator (SEA) is an actuator with an intentionally compliant element in the mechanical force path between its power source and its load.
- pix2pixv1pix2pix is a supervised image-to-image translation method that learns a mapping between two visual domains from aligned input-output image pairs.
- Particle Filterv1A particle filter is a simulation-based method for estimating the changing, unobserved state of a system from a sequence of noisy observations.
- Probabilistic Graphical Modelv1A probabilistic graphical model (PGM) is a mathematical representation in which a graph expresses the factorization and conditional-independence structure of a probability distribution.
- Content Authenticity Initiativev1The Content Authenticity Initiative (CAI) is an Adobe-led community and implementation effort for attaching verifiable origin and editing information to digital content.
- GLMv2GLM, short for General Language Model, is both a pretraining framework for language understanding and generation and the name of a model family developed by researchers associated with Tsinghua University and…
- Copyright and AIv2Copyright and AI is the body of law, agency practice, and litigation that governs how copyright applies to systems that learn from existing works and produce new material. Two questions dominate the field.
- WordNetv1WordNet is a large lexical database of English developed at Princeton University beginning in 1985.
- Web scrapingv1Web scraping is the automated extraction of data from websites, performed by programs that request pages the way a browser does and then parse the returned HTML, or the APIs behind it, into structured records.
- Vision Encoderv1A vision encoder is the neural network component that turns an image into a sequence of numerical vectors that other models can consume.
- Tay (chatbot)v1Tay was an artificial intelligence chatbot that Microsoft released on Twitter on March 23, 2016 and suspended about 16 hours later, after users manipulated it into posting racist, misogynistic, and antisemitic…
- Slurmv1Slurm is an open-source workload manager and job scheduler for Linux clusters, developed and maintained by SchedMD, which NVIDIA acquired in December 2025.
- Simulated annealingv1Simulated annealing is a probabilistic method for finding a good approximate solution to a global optimization problem, especially one with many local optima that trap ordinary hill-climbing methods.
- Robotic Process Automationv1Robotic process automation (RPA) is a category of enterprise software in which software robots, usually just called bots, operate other applications through their graphical user interfaces, reproducing the…
- Ray Kurzweilv1Ray Kurzweil (born February 12, 1948) is an American inventor, futurist, and author.
- Qwen2.5-Mathv1Qwen2.5-Math is a family of mathematics-specialized large language models developed by the Qwen team at Alibaba Cloud and released in September 2024.
- Program Synthesisv1Program synthesis is the task of automatically constructing a program that satisfies a specification expressed at a higher level than the code itself: a logical formula, a set of input-output examples, a…
- Panoptic Segmentationv1Panoptic segmentation is a computer vision task that assigns every pixel in an image a semantic class label and, for countable objects, an instance identity.
- Open Imagesv1Open Images is a large annotated image dataset published by Google for computer vision research.
- Neural Processing Unitv1A neural processing unit (NPU) is a processor, or a block inside a larger chip, designed specifically to run neural network inference at high throughput and low power.
- Neural Machine Translationv1Neural machine translation (NMT) is an approach to machine translation in which a single artificial neural network, trained end to end on bilingual text
- Natural language generationv1Natural language generation (NLG) is the subfield of natural language processing and artificial intelligence concerned with building systems that produce understandable text in English or other human…
- MYCINv1MYCIN was an early expert system built at Stanford University in the first half of the 1970s to help physicians diagnose bacterial infections and choose antibiotic therapy.
- Multilayer Perceptronv2A multilayer perceptron (MLP) is a feedforward neural network built from layers of fully connected units: an input layer, one or more hidden layers, and an output layer
- Multi-task learningv1Multi-task learning (MTL) is a machine learning approach in which one model is trained on several tasks at the same time, so that what it learns for one task helps it learn the others.
- Mistral NeMov1Mistral NeMo is a 12 billion parameter large language model released by Mistral AI in collaboration with NVIDIA on July 18, 2024.
- Mathematical reasoning in AIv6Mathematical reasoning in AI is the ability of computer systems to solve mathematical problems: carrying out multi-step calculations, proving theorems, and answering competition or research questions that…
- Manifold Hypothesisv1The manifold hypothesis is the conjecture that real-world high-dimensional data, such as natural images, speech, and text representations, concentrates on or near a manifold of much lower dimension embedded…
- Machine-generated text detectionv1Machine-generated text detection is the problem of deciding whether a given passage of text was written by a person or produced by a large language model.
- Low-Resource Languagesv1Low-resource languages, in natural language processing (NLP), are languages with little of the raw material that modern language technology depends on: digitized text, parallel translation corpora, annotated…
