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Automatically-generated information
Professor at Yale, proposes a narrower definition, "Machine-generated data is data that is generated as a result of a decision of an independent computational
Machine-generated_data
Format of network information as transmitted
Unlike those forms of machine-generated data, which are dependent on the logging configurations of those devices, wire data is defined by wire and transport
Wire_data
Subset of artificial intelligence
methods compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised
Machine_learning
Data organized by tags but not tables
fields within the data. The data is said to have a self-describing structure. Semi-structured data may be human-generated or machine-generated. It may be part
Semi-structured_data
Algorithmically generated data that have a similar distribution as sampled data
mathematical models and to train machine learning models. Data generated by a computer simulation can be seen as synthetic data. This encompasses most applications
Synthetic_data
analyzing machine-generated data, including: logs, metrics and transactions in real-time, via a web-based interface. jKool analyzes big data including
JKool
Research field that lies at the intersection of machine learning and computer security
specific problem sets, under the assumption that the training and test data are generated from the same statistical distribution (IID). However, this assumption
Adversarial_machine_learning
Unit of information
processed. Field data is data that is collected in an uncontrolled, in-situ environment. Experimental data is data that is generated in the course of
Data
Video-generating machine learning model
Dream Machine was a text-to-video model created by Luma Labs and launched in June 2024. It generates video output based on user prompts or still images
Dream Machine (text-to-video model)
Dream_Machine_(text-to-video_model)
AI that generates content
peer review text now incorporate content generated by LLMs. If AI-generated content is included in new data crawls from the Internet for additional training
Generative_AI
American technology company
Systems that produces software for indexing, searching, and analyzing machine-generated data, allowing for the creation of dashboards, alerts, graphs, and reports
Splunk
Specialized data centers designed for artificial intelligence
training and running artificial intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are often optimized for the parallel
AI_data_center
AI in wiki-based volunteer content projects
suspected LLM-generated articles for speedy deletion. This was followed by a March 2026 decision to prohibit the use of LLMs to generate or rewrite article
Artificial intelligence in Wikimedia projects
Artificial_intelligence_in_Wikimedia_projects
Data analytics company in Warsaw
of column-oriented relational database software with a focus in machine-generated data. The company was later acquired in 2017 and then spun out in 2018
Infobright
a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning frameworks
List_of_data_science_software
Process supporting machine learning
images, text, audio files and video footage. Data annotation labels can be human-generated, system-generated, or a mix of both. The availability of large-scale
Data_annotation
Recording of information in a storage medium
zettabytes of data will be generated in 2023[update], an increase of 60x from 2010, and that it will increase to 181 zettabytes generated in 2025. In computing
Data_storage
American entrepreneur and investor
known as the founder & CEO of Splunk, a big data software technology used for understanding machine-generated data primarily for systems management, security
Michael_Baum_(entrepreneur)
Machine learning framework
it will correctly identify the generated samples as real, but no penalty is imposed on the GAN's ability to generate data that represents the full range
Generative adversarial network
Generative_adversarial_network
company that develops software for the analysis and monitoring of machine-generated data—US$28 billion. Cisco's previous largest acquisition was tied between
List_of_acquisitions_by_Cisco
Online content created by users
User-generated content (UGC), alternatively known as user-created content (UCC), is content generated by users of the Internet such as images, videos,
User-generated_content
Method of machine learning
In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update
Online_machine_learning
Interdisciplinary research area
classical data. The term "quantum machine learning" is sometimes used to refer classical machine learning methods applied to data generated from quantum
Quantum_machine_learning
Data produced as a by-product of online activity
Data exhaust (also exhaust data) is the trail of data generated as a by-product of users' online activity, behaviour, and transactions, rather than data
Data_exhaust
Computer control of machine tools
the program) are generated. 3D printers also use G-Code. CNC offers greatly increased productivity over non-computerized machining for repetitive production
Computer_numerical_control
Digital archive by the Internet Archive
October 2025[update], the Wayback Machine has archived more than 1 trillion web pages and well over 99 petabytes of data. The Internet Archive has been archiving
Wayback_Machine
Copyright law in the use of AI
Office's refusal to register copyrights for works generated solely by machines, establishing that machine ownership would conflict with heritable property
Artificial intelligence and copyright
Artificial_intelligence_and_copyright
American federal open data platform
Kundra. Data.gov aims to improve public access to high value, machine-readable datasets generated by the Executive Branch of the federal government. The site
Data.gov
includes solutions for data management, and products or services that are based on data generated by both human and machines. DataTech is an emerging industry
Data_technology
AI chatbot image controversy
June 2026, Grok is still being used to generate and host sexual deepfakes. An analysis of 20,000 images generated by Grok between December 25, 2025, and
Grok_sexual_deepfake_scandal
Attribute of data
operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that
Data_type
Usage of artificial intelligence to generate music
powerful, which allowed machine learning and artificial neural networks to help in the music industry by giving AI large amounts of data. By the early 2000s
Artificial intelligence in music
Artificial_intelligence_in_music
Explicit material produced by generative AI
image libraries and continuous feeds of user-generated content, with the ability to modify already generated images. Generative AI pornography has also
Generative_AI_pornography
Topics referred to by the same term
computer virtual machine, a computing machine implemented in software rather than directly in hardware Machine-generated data Machines (video game), a
Machine_(disambiguation)
Component of CNC software
tool path data from CNC software into machine tool data, to be used in CAM systems. A post processor generates the G-code used by the machine control module
Post_processor
Approach in data analysis
majority of the data and do not conform to a well defined notion of normal behavior. Such examples may arouse suspicions of being generated by a different
Anomaly_detection
Neural network that learns efficient data encoding in an unsupervised manner
words. In terms of data synthesis, autoencoders can also be used to randomly generate new data that is similar to the input (training) data. An autoencoder
Autoencoder
Type of machine learning model
Aligning Language Models with Self-Generated Instructions". Self-Instruct: Aligning Language Model with Self Generated Instructions. pp. 13484–13508. doi:10
Large_language_model
Application of computer graphics to create or contribute to images
computer-generated imagery; natural looking landscapes (such as fractal landscapes) are also generated via computer algorithms. A simple way to generate fractal
Computer-generated_imagery
2019 text-generating language model
scraping content indiscriminately from the World Wide Web, WebText was generated by scraping only pages linked to by Reddit posts that had received at
GPT-2
Structured data and method for its publication
computers (machine readable). Linked data may also be open data, in which case it is usually described as Linked Open Data. In his 2006 "Linked Data" note
Linked_data
Data that is findable, accessible, interoperable, and reusable
principles emphasise machine-actionability — the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal
FAIR_data
Intelligence in machines
fertility trackers that analyse user data to offer predictions, AI-integrated sex toys (e.g., teledildonics), AI-generated sexual education content, and AI
Artificial_intelligence
Erroneous AI-generated content presented as true
language model generating an incorrect citation link. In 2017, Google researchers used it to describe the responses generated by neural machine translation
Hallucination (artificial intelligence)
Hallucination_(artificial_intelligence)
Set of methods for supervised statistical learning
vectors, developed in the support vector machines algorithm, to categorize unlabelled data.[citation needed] These data sets require unsupervised learning approaches
Support_vector_machine
geometries generated by normal-mode sampling to probe model robustness under thermal perturbations. The collection underpins the study Does Hessian Data Improve
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Type of large language model
to generate text, such as Gemini, DeepSeek and Claude. GPTs are primarily used to generate text, but can be trained to generate other kinds of data. Multimodal
Generative pre-trained transformer
Generative_pre-trained_transformer
Data analysis technique
copies of existing data. Synthetic Minority Over-sampling Technique (SMOTE) is a method used to address imbalanced datasets in machine learning. In such
Data_augmentation
Field of study to extract knowledge from data
statistical analysis, data preprocessing, and supervised learning. The machine learning generated predictive models support forcasting, risk assessment, and decision-making
Data_science
Visual content generation through artificial intelligence
Artificial intelligence visual art, or AI art, is artistic content generated or assisted by artificial intelligence (AI) programs. The classification
AI_art
Communication between devices
personal computer. More recent machine to machine communication has changed into a system of networks that transmits data to personal appliances. The expansion
Machine_to_machine
Facility used to house computer servers
for their data centers. As of 2020, according to the IEA, solar photovoltaic-generated electricity is at its lowest cost in history. Other data centers
Data_center
Collection of data
corresponds to the observations on one element of that population. Data sets may further be generated by algorithms for the purpose of testing certain kinds of
Data_set
Data serialization format
compilation generates code that can be invoked by a sender or recipient of these data structures. For example, example.pb.cc and example.pb.h are generated from
Protocol_Buffers
Set of techniques in machine learning
to the underlying data-generating process. It is a component of Explainable artificial intelligence (XAI) and interpretable machine learning (IML) and
Feature_Importance
Generative AI chatbot by OpenAI
watermarking tool that makes the text generated by ChatGPT easier to detect by subtly altering how the text is generated. The watermarking was claimed to be
ChatGPT
Type of artificial neural network
a top-down generative network that generates values of the hidden variables and the data itself. Helmholtz machines are a type of learning architectures
Helmholtz_machine
Artificial intelligence model developed by TypeSafe AI
by a person. Unlike classical discriminative models, Jev does not require data-specific training. Like generative pretrained transformer models, it can
Jev_(AI_model)
Image-generating deep learning model
frequency of women being generated. OpenAI hypothesise that this may be because women were more likely to be sexualised in training data which caused the filter
DALL-E
intelligence (SETI), machine learning has been used in attempts to identify artificially generated electromagnetic waves in available data—such as real-time
Applications of artificial intelligence
Applications_of_artificial_intelligence
AI-generated content, since training an AI model with AI-generated text does not allow the model to become any "smarter". Approaches like machine learning
Ethics of artificial intelligence
Ethics_of_artificial_intelligence
Change of statistical properties over time
predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model. It happens
Concept_drift
OpenAI text-to-video models (2024–2026)
media app developed by OpenAI. Using artificial intelligence, the model generated short video clips based on prompts, and could also extend existing short
Sora_(text-to-video_model)
Tasks in machine learning
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Degradation of AI models trained on synthetic data
the literature investigates the use of machine learning detectors and watermarking to identify model generated data and filter it out. In the context of
Model_collapse
Syntax for defining data structures
ability to export from an ERD generated with Data Modeler to either a .sql file or a .ddl file. The concept of the data definition language and its name
Data_definition_language
Varian Data Machines was a division of Varian Associates which sold minicomputers. It entered the market in 1967 through acquisition of Decision Control
Varian_Data_Machines
Discrete, discontinuous representation of information
input for data science, where data is collected, processed, analyzed, and modeled using methods from statistics, computer science and machine learning
Digital_data
Late 19th-century machine for summarizing information stored on punch cards
stored on punched cards. Invented by Herman Hollerith, the machine was developed to help process data for the 1890 U.S. Census. Later models were widely used
Tabulating_machine
AI whose outputs can be understood by humans
processes that extract model parameters from training data and generate labels from testing data can be described and motivated by the approach designer
Explainable artificial intelligence
Explainable_artificial_intelligence
Extremely large or complex datasets
every day 2.5 exabytes (2.17×260 bytes) of data are generated. Based on an IDC report prediction, the global data volume was predicted to grow exponentially
Big_data
Anime-focused imageboard website
user-generated tags and content ratings. Danbooru has served as the basis for a large ecosystem of derivative software, related imageboards and machine learning
Danbooru
Casino gambling machine
machine, fruit machine (British English), puggie (Scots), poker machine or pokie machine (Australian and New Zealand English) is a gambling machine that
Slot_machine
Process where AI repeatedly improves itself
merged into its codebases was generated by its LLM, Claude. The company said however that the time spent reviewing AI-generated code became a new bottleneck
Recursive_self-improvement
List of concepts in artificial intelligence
Solutions can also be generated by cloning an existing solution, which is analogous to asexual reproduction. Newly generated solutions are typically
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Failure of a generative model to generate diverse samples
the full diversity of the training data. It usually exhibits as "collapsing to the modes". That is, the model-generated distribution is approximately just
Mode_collapse
Flaw in mathematical modelling
output when fed "validation data" that was not encountered during its training. The term overfitting has been used in machine learning at least since 1980's
Overfitting
Turkish media artist and designer
he used academic data from the neuroscience archives and EEG scans of an anonymous Alzheimer's disease dataset to create AI-generated visuals related to
Refik_Anadol
sciences, some data are often difficult to access or collect, therefore inferring data from data that are easily available by machine learning method
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Process of linking data objects in distinct models
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used
Data_mapping
Instructions directly executable by a computer
In computing, machine code is data encoded and structured to control a computer's central processing unit (CPU) via its programmable interface. A computer
Machine_code
Problem of circular reasoning in statistics
test any hypothesis on a data set that was not used to generate the hypothesis. Testing a hypothesis suggested by the data can very easily result in
Testing hypotheses suggested by the data
Testing_hypotheses_suggested_by_the_data
Decentralized machine learning
is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model while keeping their data decentralized
Federated_learning
Subfield of artificial intelligence
generating it from symbolic rules. Examples include the Neural Theorem Prover, which constructs a neural network from an AND-OR proof tree generated from
Neuro-symbolic_AI
Method in machine learning
also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability
Bootstrap_aggregating
Machine learning technique
linear reward functions has been shown to converge if the comparison data is generated under a well-specified linear model. This implies that, under certain
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Period of reduced funding and interest in AI research
Weaver's influential memorandum, Machine translation of languages: fourteen essays in 1949. The memorandum generated great excitement within the research
AI_winter
AI software development optimisation
can generate source code from natural-language descriptions, comments, or docstrings. Research on code-generation systems often evaluates generated programs
AI-assisted software development
AI-assisted_software_development
Average uncertainty in variable's states
expressed by Shannon – is for the receiver to be able to identify what data was generated by the source, based on the signal it receives through the channel
Entropy_(information_theory)
Web-based IDE for prototyping with Google's generative AI models
Studio's data handling differs between free and paid users. For free tier users, Google uses submitted prompts, uploaded files, and generated responses
Google_AI_Studio
Algorithm for modelling sequential data
designed for multimodal data Vision transformer – Machine learning model for vision processing Large language model – Type of machine learning model BERT
Transformer_(deep_learning)
Application of computing technology in music
generate new musical data. Style mixing can be realized by analysis of a database containing multiple musical examples in different styles. Machine Improvisation
Computer_music
Software for understanding biological data
structure prediction, this proved difficult. Machine learning techniques such as deep learning can learn features of data sets rather than requiring the programmer
Machine_learning_in_biology
Machine learning paradigm
In machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output
Supervised_learning
Public availability of AI parameters
copyrightable expression of an idea", model weights are generated automatically by a machine learning algorithm. The functional nature of ML model weights
Open_weights
Real-time text-to-speech AI tool
produce spoken words but instead generated their games' distinctive beeps when text was entered. From 2020, 15.ai had generated audio at 44.1 kHz sampling rate—higher
15.ai
Technological phenomenon with social implications
power", in that they are a virtual means of generating actual ends. Where previously human behavior generated data to be collected and studied, powerful algorithms
Algorithmic_bias
Methods in artificial intelligence research
is generated from symbolic rules. An example is the Neural Theorem Prover, which constructs a neural network from an AND–OR proof tree generated from
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Online information retrieval tool
algorithms for generating ranked data, duplicates will therefore also be generated. To remove duplicates, a metasearch engine processes this data and applies
Metasearch_engine
Concept in computer security
the building blocks of an exploit based on crafted input data. The concept of weird machine is a theoretical framework to understand the existence of
Weird_machine
travel, tourism, insurance
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
MACHINE GENERATED-DATA
travel, tourism, insurance