identity proofing
Identity proofing establishes that a claimed real-world identity belongs to the person presenting evidence during enrollment.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 681–700 of 1136 terms
Clear filtersidentity verification
Identity verification checks whether a person is who they claim to be before granting access to an AI service or other system.
image editing
Image editing uses AI or conventional tools to change an existing picture while keeping the parts that should remain the same.
image sequence
An image sequence stores each animation or video frame as a separate numbered image file that editing software plays in order.
image-to-3D generation
Image-to-3D generation creates a three-dimensional model from one or more source images using visual inference and learned shape priors.
image-to-three-dimensional reconstruction
Image-to-three-dimensional reconstruction estimates a three-dimensional scene or object from one or more two-dimensional images.
image-to-video continuity
Image-to-video continuity is the ability of an AI video process to preserve important visual details when a reference image or prior frame guides new motion.
immunotherapy
Immunotherapy is a treatment approach that activates, strengthens, redirects, or releases constraints on the immune system so it can better act against disease.
in-application AI assistant
An in-application AI assistant is an assistant embedded inside a particular product and designed to help users operate that product with access to its approved context and actions.
incident reporting
Incident reporting is documenting a significant product failure, its effects, the available evidence, and what remains uncertain.
incident response
AI incident response is the organized process for detecting, containing, investigating, recovering from, and learning from harmful model or agent behavior.
independent safety evaluation
An independent safety evaluation is an assessment of an AI system's risks and safeguards performed by evaluators who are separate from its developer or promoter.
inference autoscaling
AI inference autoscaling automatically adjusts model-serving capacity in response to workload demand and performance targets.
inference economics
AI inference economics examines the revenue, cost, utilization, pricing, and margins involved in serving trained models.
inference latency
AI inference latency is the time between submitting model input and receiving the required output or response milestone.
inference pod
An AI inference pod is a deployable group of compute and software resources that serves requests for an AI model.
information gain
Information gain measures how much an observation or answer reduces uncertainty about the decision an AI system is trying to make.
infrastructure investment
AI infrastructure investment funds the chips, data centers, power, networking, storage, and operations needed to develop and run AI systems.
initial public offering
An initial public offering is the first sale of a private company's shares to investors on a public stock market.
innovation acceleration
AI innovation acceleration is the increase in the speed or rate of creating and applying new knowledge, products and processes with AI.