3,135 articles
Influence maximization
Influence maximization is the algorithmic problem of choosing a small set of seed nodes in a network to maximize expected influence spread under a diffusion model.
InfluxDB
InfluxDB is an open source time series database developed by InfluxData, first released in 2015 and optimized for fast storage and retrieval of monitoring metrics, IoT sensor data, and real-time analytics.
Infomax (independent component analysis)
Infomax is an unsupervised independent component analysis algorithm introduced by Anthony Bell and Terrence Sejnowski in 1994, which separates linear mixtures of unknown signals into statistically independent components by maximizing output information.
Information architecture
Information architecture (IA) is the structural design of shared information environments through organization, labeling, navigation, and search systems, a discipline popularized by Richard Saul Wurman and defined by Rosenfeld and Morville's 1998 book.
Information bottleneck
The information bottleneck is an information-theoretic method for compressing a signal while preserving information relevant to a prediction target, introduced by Naftali Tishby, Fernando Pereira, and William Bialek in 1999.
Information bottleneck method
The information bottleneck method is an information-theoretic technique that compresses a random variable X into a compact representation while preserving information about a target variable Y.
Information filter
The information filter is a Bayesian state-estimation algorithm for linear Gaussian systems, algebraically equivalent to the Kalman filter but working with the inverse covariance, the information matrix.
Information privacy
Information privacy, also known as data privacy, is the right and practice of controlling how personal data is collected, used, and shared, recognized as a human right in Article 12 of the Universal Declaration of Human Rights.
Information retrieval
Information retrieval (IR) is the task of finding documents that contain answers to a user's query and ranking them by predicted relevance, the core operation behind search engines.
Information system success model
The information system success model is a framework by DeLone and McLean, first published in 1992, that defines system success through measurable dimensions like quality, use, and satisfaction.
Informix
Informix is a relational and object-relational database management system, developed from 1980 by Informix Corporation and acquired by IBM in 2001, now used for transaction processing, time series, and spatial workloads.
Inpainting (image processing)
Image inpainting fills in missing or damaged regions of a photograph by synthesizing plausible content from surrounding pixels or a generative model, used for photo restoration and object removal.
Inside–outside–beginning (tagging)
Inside–outside–beginning (IOB) tagging, or BIO tagging, is a natural language processing encoding that marks chunk boundaries with I, O, and B tags on each word.
Instance segmentation
Instance segmentation is a computer vision method that detects each individual object in an image and assigns it a pixel-level mask, class label, and confidence score.
Instrumental convergence
Instrumental convergence, also called universal instrumental values, is the thesis that goal-directed AI agents pursue similar subgoals, such as self-preservation and resource acquisition, regardless of their final goals.
Integer (computer science)
In computer science, an integer, also called an integral data type, represents whole numbers as a fixed-width bit pattern or, in languages like Python, with arbitrary precision.
Integer programming
Integer programming, also called integer linear programming or mixed-integer programming, is a branch of mathematical optimization where some or all variables are restricted to integer values.
Integral reinforcement learning
Integral reinforcement learning (IRL) is a reinforcement learning method for continuous-time dynamical systems that learns optimal control policies from reward integrated over time intervals, needing no drift dynamics.
Integrated gradients
Integrated gradients is an attribution method explaining a machine learning prediction by integrating input gradients along a path from a baseline to the input, introduced in 2017.
Integration platform as a service
Integration platform as a service (iPaaS) is a cloud-hosted suite for connecting applications, APIs and data across cloud, on-premises and hybrid environments; notable traits include subscription pricing, pre-built connectors, low-code tools, and EiPaaS versus embedded iPaaS distinctions.
Intel Loihi
Intel Loihi is a family of neuromorphic research processors from Intel Labs that compute with spiking neural networks, first announced in 2017 and followed by Loihi 2 in 2021.
Intel Movidius Myriad X
The Intel Movidius Myriad X is a low-power vision processing unit, announced in 2017, and the first VPU with a dedicated on-chip neural network accelerator, the Neural Compute Engine.
Intel Neural Compute Stick 2
The Intel Neural Compute Stick 2, or Intel NCS 2, is a discontinued USB stick-shaped accelerator for deep neural network inference, built on Intel's Movidius Myriad X VPU and sold from 2018.
Intel NPU
The Intel NPU, branded Intel AI Boost, is a neural processing unit in Intel Core Ultra processors, launched December 14, 2023, to run AI workloads at low power.
Intelligent agent
An intelligent agent, also known as an artificial intelligence agent, is a computational system that perceives its environment and acts autonomously to achieve objectives, spanning software, robots, and modern LLM-based agents.
Intelligent tutoring system
An intelligent tutoring system (ITS) is educational software that gives step-level feedback, hints, and assessment while a student works, adapting instruction to a model of that student's knowledge.
Intent classification
Intent classification, also called intent detection or intent recognition, is an NLU task that assigns a user's utterance to one intent label, such as book_flight, which maps to a system action.
Interactive genetic algorithm
An interactive genetic algorithm is a genetic algorithm in which a human user evaluates candidate solutions instead of a fitness function, applied to art, music, and design tasks.
Interactive machine learning
Interactive machine learning (IML) is an approach in which users iteratively build and refine a model through rapid, focused, incremental cycles of input and review.
Interactive machine translation
Interactive machine translation (IMT) is a mode of computer-assisted translation in which a human translator and a machine translation system build the target text together, with the system re-predicting after each edit.