Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
5,641 definitions
Mission Control Recovery Mode is a space resilience pattern that moves a spacecraft or mission system into a known safe operating state for flight control room coordination. It uses health checks, fallback commands, and restart procedures so teams can restore control after anomalies while keeping evidence, reliability, and public-safe operational boundaries clear.
Mission Control Science Window is a space planning interval that marks when conditions are suitable for data collection for flight control room coordination. It uses target visibility, power budgets, thermal state, and downlink availability so teams can capture useful observations without breaking constraints while keeping evidence, reliability, and public-safe operational boundaries clear.
Mission Control Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for flight control room coordination. It uses sensor data, heat models, and operational constraints so teams can protect hardware during changing conditions while keeping evidence, reliability, and public-safe operational boundaries clear.
Mission Control Trajectory Correction is a space maneuver process that adjusts a planned flight path after navigation updates or mission changes for flight control room coordination. It uses delta-v estimates, burn timing, and post-maneuver validation so teams can reduce path error before it grows while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Agent Trace is a ai observability record that captures the steps an AI workflow took for foundation model behavior and serving. It uses trace identifiers, tool events, and redacted metadata so teams can debug agent behavior without exposing secrets while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for foundation model behavior and serving. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Context Contract is a ai interface contract that defines what context may be passed into a model call for foundation model behavior and serving. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Drift Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for changes in model performance over time. It uses slice metrics, representative data, and reviewer notes so teams can surface fairness risks while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Drift Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for changes in model performance over time. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.
Model Drift Data Split is a ml experimental control that separates examples for training, validation, and testing for changes in model performance over time. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.