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Conestoga (rocket)
Conestoga was a family of American solid-propellant rockets by Space Services Inc. and EER Systems; its Conestoga I of 1982 was the first privately funded rocket to reach space.
Conestoga wagon
The Conestoga wagon is a heavy, covered freight wagon with a curved bed, developed by Pennsylvania Germans near the Conestoga River around 1750 and used for hauling freight until railroads replaced it in the 1850s.
Conesville Power Plant
The Conesville Power Plant was a coal-fired station in Conesville, Ohio, on the Muskingum River, run by AEP from 1981 until its final unit retired in May 2020.
Coney Island Cyclone
The Coney Island Cyclone is a wooden roller coaster at Surf Avenue in Brooklyn, New York, opened in 1927 and still running at its original site.
Confederation Bridge
The Confederation Bridge is a 12.9-kilometer toll bridge opened in 1997 that links Borden-Carleton, Prince Edward Island, to Cape Jourimain, New Brunswick, carrying the Trans-Canada Highway.
Conference call
A conference call is a call linking three or more people in different locations through a conference bridge, from simple three-way calls to investor events.
Conference on Computer Vision and Pattern Recognition
The Conference on Computer Vision and Pattern Recognition (CVPR) is the annual flagship research conference of the computer vision community, sponsored by the IEEE Computer Society and the Computer Vision Foundation.
Conference on Machine Translation
The Conference on Machine Translation (WMT) is an annual machine translation conference, begun in 2006 as a workshop and made standalone in 2016, whose test sets serve as standard benchmarks.
Conference on Neural Information Processing Systems
The Conference on Neural Information Processing Systems, known as NeurIPS and formerly NIPS, is an annual machine learning and computational neuroscience conference founded in 1987.
Conficker
Conficker, also known as Downadup, Downup, or Kido, is a computer worm targeting Microsoft Windows, first detected in November 2008 and infecting millions of machines.
Confidence calibration
Confidence calibration is the machine learning task of adjusting a classifier's predicted probabilities to match the true probability that its predictions are correct, measured by expected calibration error.
Confidential Computing
Confidential computing is the protection of data in use by computing inside a hardware-based, attested Trusted Execution Environment, extending encryption beyond data at rest and in transit.
CONFIG.SYS
CONFIG.SYS is a plain-text configuration file read by DOS-family operating systems, including MS-DOS and OS/2, at boot time to load device drivers and set system parameters.
Configuration drift
Configuration drift is the divergence between a system's declared configuration and its actual state, arising from manual changes, emergency fixes, and actions bypassing infrastructure-as-code workflows.
Configuration file
A configuration file, also called a config file, stores a program's settings, such as options, paths, and credentials, separately from code so behavior changes without rebuilding.
Configuration management
Configuration management is a management discipline applied over a product's life cycle to control changes to its performance, functional, and physical characteristics, used in fields from aerospace to information technology.
Configuration management database
A configuration management database (CMDB) is a repository that stores an IT environment's configuration items, such as servers and applications, and the relationships between them.
Configuration space (robotics)
In robotics, the configuration space, or C-space, is the space of all possible robot configurations, where motion planning becomes finding a path for a point.
Conflict-based search
Conflict-based search (CBS) is a two-level algorithm for optimal multi-agent pathfinding: a high level grows a constraint tree from agent conflicts while a low level plans single-agent paths. Introduced at AAAI 2012.
Conflict-driven clause learning
Conflict-driven clause learning (CDCL) is a complete search algorithm for Boolean satisfiability that records a clause explaining each conflict, pruning the search space and enabling backjumping.
Conflict-free replicated data type
A conflict-free replicated data type (CRDT) is a data structure that can be replicated across computers and updated without coordination, with replicas converging to the same state.
Confluence (software)
Confluence, also known as Atlassian Confluence, is a team workspace and wiki application developed by Atlassian and first released in 2004, sold in cloud and self-managed Data Center editions and closely integrated with Jira.
Confluent
Confluent, also known as Confluent, Inc., is an American data streaming company founded in 2014 by the engineers who created Apache Kafka, acquired by IBM in 2026.
Conformal calibration (machine learning)
Conformal calibration is a machine learning technique that wraps an already-trained model's outputs in conformal prediction machinery, producing prediction sets or calibrated distributions with distribution-free, finite-sample coverage guarantees under exchangeability.
Conformal coating
Conformal coating is a thin polymeric film, typically 12.5 to 200 µm thick, applied over printed circuit board assemblies for electrical insulation and environmental protection, with roots in defense and space electronics.
Conformal fuel tank
A conformal fuel tank, sometimes called a slipper tank, is an external aircraft fuel tank shaped to the airframe, adding fuel with low drag while leaving weapon stations free.
Conformance checking
Conformance checking is a process mining technique that compares an event log recorded from a real process against a process model, quantifying deviations with metrics such as fitness.
Conformance testing
Conformance testing is a testing method that checks whether an implementation of a standard behaves as required, standardized in ISO/IEC 9646 in 1991 and central to protocol engineering.
Conformed dimension
Conformed dimension: Kimball data warehouse concept; a dimension table shared identically (same keys, column names, attribute values) across multiple fact tables, enabling drill-across reports and the bus matrix.
Conformer (machine learning model)
The Conformer is a neural network architecture for automatic speech recognition that combines Transformer self-attention with convolutional modules, proposed by Google researchers in 2020 and presented at Interspeech.