AI vendor (ИИ вендор) is a supplier of AI tools (systems, solutions).
AI vendor (AI vendor 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 (AI workstation 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; automated reasoning, including planning, dispatching, knowledge representation and reasoning, search and optimization. AI-based systems can be used in cyber-physical systems, including equipment control systems via the Internet, robotic equipment, social robotics and human-machine interface systems that combine the functions of control, recognition, processing of data collected by sensors, as well as the operation of actuators in the environment of functioning of AI systems.
AI-complete (Сложный/завершенный искусственный интеллект) In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems is equivalent to that of solving the central artificial intelligence problem making computers as intelligent as people, or strong AI. To call a problem AI-complete reflects an attitude that it would not be solved by a simple specific algorithm [31]
AI-enabled (AI-enabled is AI-enabled hardware or software that uses AI-enabled AI, such as AI-enabled tools.
AI-enabled AI-enabled using AI and equipped with AI, for example, AI-enabled tools tools with AI (see also AI-enabled device).
AI-enabled device (AI-enabled device is a device supported by an artificial intelligence (AI) system, such as an intelligent robot.
AI-enabled device (Устройство, оснащенное ИИ) A device supported by an artificial intelligence (AI) system, such as an intelligent robot (see also AI-enabled healthcare device).
AI-enabled healthcare device (AI-enabled healthcare device is an AI-enabled healthcare device.
AI-enabled healthcare device (Оснащенное ИИ медицинское устройство) is an AI-enabled device for healthcare (medical care), see also AI-enabled device.
AI-optimized (AI-optimized is one that is optimized for AI tasks or optimized using AI tools, for example, an AI-optimized chip is a chip that is optimized for AI tasks.
AI-optimized (Оптимизированный для задач ИИ) optimized for AI tasks; AI-optimized chip, for example, an AI-optimized chip is a chip optimized for AI tasks (see also artificial intelligence).
AlexNet (AlexNet) The name of a neural network that won the ImageNet Large Scale Visual Recognition Challenge in 2012. It is named after Alex Krizhevsky, then a computer science PhD student at Stanford University. See ImageNet.
Algorithm (Алгоритм) an exact prescription for the execution in a certain order of a system of operations for solving any problem from some given class (set) of problems. The term algorithm comes from the name of the Uzbek mathematician Musa Al-Khorezmi, who in the 9th century proposed the simplest arithmetic algorithms. In mathematics and cybernetics, a class of problems of a certain type is considered solved when an algorithm is established to solve it. Finding algorithms is a natural human goal in solving various classes of problems.
Algorithmic Assessment (Алгоритмическая оценка) is a technical evaluation that helps identify and address potential risks and unintended consequences of AI systems across your business, to engender trust and build supportive systems around AI decision making.
AlphaGo (AlphaGo AlphaGo) is the first computer program that defeated a professional player on the board game Go in October 2015. Later in October 2017, AlphaGos team released its new version named AlphaGo Zero which is stronger than any previous human-champion defeating versions. Go is played on 19 by 19 board which allows for 10171 possible layouts (chess 1050 configurations). It is estimated that there are 1080 atoms in the universe [32]
Ambient intelligence (AmI) (Окружающий интеллект) Ambient intelligence (AmI) represents the future vision of intelligent computing where explicit input and output devices will not be required; instead, sensors and processors will be embedded into everyday devices and the environment will adapt to the users needs and desires seamlessly. AmI systems, will use the contextual information gathered through these embedded sensors and apply Artificial Intelligence (AI) techniques to interpret and anticipate the users needs. The technology will be designed to be human centric and easy to use. [33]
An AI accelerator (Ускоритель ИИ) is a specialized chip that improves the speed and efficiency of training and testing neural networks. However, for semiconductor chips, including most AI accelerators, there is a theoretical minimum power consumption limit. Reducing consumption is possible only with the transition to optical neural networks and optical accelerators for them.