agent state detection
AI agent state detection
AI agent state detection determines whether an agent is available, running, waiting, blocked, failed, disconnected, or complete.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 141–160 of 705 terms
Clear filtersagentic artificial intelligence inference
Agentic AI inference is model serving for AI agents whose long, multi-turn and tool-using sessions create variable context, latency and caching demands.
application programming interface integration
API integrationApplication programming interface integration connects software to an API so data or actions can move between systems as part of a working workflow.
applied artificial intelligence
AI applicationapplied AIApplied AI uses models and related systems to solve a concrete problem in a product, service or operational workflow.
artificial intelligence
AIAI is the field of building computer systems that perform tasks associated with human intelligence, including perception, language, learning, reasoning and decision support.
artificial intelligence-enabled cyberdefense
AI cyber defenseAI-enabled cyberdefenseAI-enabled cyberdefense uses AI systems to help detect, analyze, prioritize or respond to authorized security activity.
asynchronous artificial intelligence agent
asynchronous AI agentAn asynchronous AI agent performs delegated work in the background so a person can continue other work and review the result later.
audit
AI auditAn AI audit is a structured examination of an AI system's design, operation, controls and outcomes against defined requirements or risks.
blind artificial intelligence model evaluation
blind AI model evaluationBlind AI model evaluation measures outputs while hiding model identity to reduce brand and expectation bias.
capability-adoption gap
AI capability-adoption gapThe AI capability-adoption gap is the difference between what current AI systems can technically do and what people or organizations routinely use them to do.
change impact analysis
AI change impact analysis uses a model to identify which code, systems, tests, users, and prior decisions may be affected by a proposed software change.
change management
AI change managementorganizational AI enablementAI change management prepares people, processes, governance, and support for the organizational changes created by adopting AI systems.
closed-weight artificial intelligence model
closed-weight AI modelA closed-weight AI model keeps its learned weights unavailable and is commonly accessed through a provider-controlled service.
compensating transaction
A compensating transaction is a separate operation that counteracts the effects of an earlier completed operation when direct rollback is unavailable.
computational protein design
Computational protein design uses algorithms and models to propose amino-acid sequences expected to form desired structures or functions.
compute capacity
AI compute capacityAI compute capacity is the available ability of hardware and supporting systems to perform AI training or inference work over time.
compute concentration
AI compute concentrationAI compute concentration occurs when a small number of organizations control a large share of the infrastructure capable of training or serving advanced models.
compute performance per watt
Compute performance per watt measures how much useful computing work a system completes for each watt of electrical power it consumes.
concentration governance risk
AI concentration governance riskAI concentration governance risk is the societal and institutional risk created when a small number of organizations control advanced models, compute, or deployment channels.
content-addressable storage
CASContent-addressable storage identifies stored data by a hash of its content instead of only by a mutable location or filename.
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