AI Building and Training Kits (Комплекты для создания и обучения искусственного интеллекта) – applications and software development kits (SDKs) that abstract platforms, frameworks, analytics libraries, and data analysis appliances, allowing software developers to incorporate AI into new or existing applications.
AI camera (ИИ камера) – a camera with artificial intelligence, digital cameras of a new generation – allow you to analyze images by recognizing faces, their expression, object contours, textures, gradients, lighting patterns, which is taken into account when processing images; some AI cameras are capable of taking pictures on their own, without human intervention, at moments that the camera finds most interesting, etc. (see also camera, software-defined camera).
AI chipset (ИИ чипсет) is a chipset for systems with AI, for example, AI chipset industry is an industry of chipsets for systems with AI, AI chipset market is a market for chipsets for systems with AI.
AI chipset market (ИИ рыное чипов) – chipset market for systems with artificial intelligence (AI), see also AI chipset.
AI cloud services (Облачные сервисы искусственного интеллекта) – AI model building tools, APIs, and associated middleware that enable you to build/train, deploy, and consume machine learning models that run on a prebuilt infrastructure as cloud services. These services include automated machine learning, machine vision services, and language analysis services.
AI CPU (Центральный процессор ИИ) is a central processing unit for AI tasks, synonymous with AI processor.
AI engineer (ИИ-инженер) – AI systems engineer.
AI engineering (ИИ-инжиниринг) – transfer of AI technologies from the level of R&D, experiments and prototypes to the engineering and technical level, with the expanded implementation of AI methods and tools in IT systems to solve real production problems of a company, organization. One of the strategic technological trends (trends) that can radically affect the state of the economy, production, finance, the state of the environment and, in general, the quality of life of a person and humanity
AI hardware (also AI-enabled hardware) (ИИ-аппарат) – AI hardware, AI hardware, artificial intelligence infrastructure [system] hardware, AI infrastructure. Explanations in the Glossary are usually brief
AI hardware (Аппаратное обеспечение ИИ) is infrastructure hardware or artificial intelligence system, AI infrastructure.
AI industry (Индустрия ИИ) – for example, commercial AI industry – commercial AI industry, commercial sector of the AI industry.
AI industry trends (Тренды индустрии ИИ) are promising directions for the development of the AI industry.
AI infrastructure (also AI-defined infrastructure, AI-enabled Infrastructure) (Инфраструктура ИИ) – artificial intelligence infrastructure [systems], AI infrastructure, AI infrastructure, for example, AI infrastructure research – research in the field of AI infrastructures (see also AI, AI hardware).
AI server (ИИ сервер) – artificial intelligence server – is a server with (based on) AI; a server that provides solving AI problems.
AI shopper (ИИ-покупатель) is a non-human economic entity that receives goods or services in exchange for payment. Examples include virtual personal assistants, smart appliances, connected cars, and IoT-enabled factory equipment. These AIs act on behalf of a human or organization client.
AI supercomputer (ИИ суперкомпьютер) – a supercomputer for artificial intelligence tasks, a supercomputer for AI, characterized by a focus on working with large amounts of data (see also artificial intelligence, supercomputer).
AI term (ИИ термин) – a term from the field of AI (from terminology, AI vocabulary), for example, in AI terms – in terms of AI (in AI language).
AI term (Термин ИИ) is a term from the field of AI (from terminology, AI vocabulary), for example, in AI terms – in terms of AI (in AI language).
AI terminology (ИИ терминология) – artificial intelligence terminology, is a set of special terms related to the field of AI (see also AI term).
AI terminology (Терминология ИИ) is the terminology of artificial intelligence, a set of technical terms related to the field of AI.
AI TRiSM (Управление доверием, рисками и безопасностью ИИ) is the management of an AI model to ensure trust, fairness, efficiency, security, and data protection.
AI vendor (ИИ вендор) – is a supplier of AI tools (systems, solutions).
AI vendor (Поставщик ИИ) is a supplier of AI tools (systems, solutions).
AI winter (Winter of artificial intelligence, Зима искусственного интеллекта) is a period of reduced interest in the subject area, reduced research funding. The term was coined by analogy with the idea of nuclear winter. The field of artificial intelligence has gone through several cycles of hype, followed by disappointment and criticism, followed by a strong cooling off of interest, and then followed by renewed interest years or decades later [30].
AI workstation (ИИ рабочая станция) – a workstation (PC) with means (based on) AI; AI PC, a specialized desktop PC for solving technical or scientific problems, AI tasks; usually connected to a LAN with multi-user operating systems, intended primarily for the individual work of one specialist.
AI workstation (Рабочая станция ИИ) is a workstation (PC) with (based on) AI; AI RS, a specialized computer for solving technical or scientific problems, AI tasks; usually connected to a LAN with multi-user operating systems, intended primarily for the individual work of one specialist.
AI-based management system (Система управления на основе искусственного интеллекта) – the process of creating policies, allocating decision-making rights and ensuring organizational responsibility for risk and investment decisions for an application, as well as using artificial intelligence methods.
AI-based systems (Системы на основе ИИ) are information processing technologies that include models and algorithms that provide the ability to learn and perform cognitive tasks, with results in the form of predictive assessment and decision making in a material and virtual environment. AI systems are designed to work with some degree of autonomy through modeling and representation of knowledge, as well as the use of data and the calculation of correlations. AI-based systems can use various methodologies, in particular: machine learning, including deep learning and reinforcement learning;