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[1] A term describing the feature, function or characteristic of computer systems or machines trying to simulate human-thinking behavior or human intelligence. [2] A field of the Computer Science, which is based on research studies or developments about providing intelligent systems simulating the human-thinking behavior or human intelligence. Learn more in: Present State of Swarm Intelligence and Future Directions
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The use of computer science techniques to develop computer programs in an attempt to simulate human behaviour. These programs perform tasks that usually require a human to do and thereby convey a sense of added value when compared to simple computer tasks. Learn more in: VLE Meets VW
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The branch of computer science concerned with making computers behave like humans. The term was coined in 1956 by John McCarthy at the Massachusetts Institute of Technology. Artificial intelligence includes games playing : programming computers to play games such as chess and checkers; expert system s: programming computers to make decisions in real-life situations [for example, some expert systems help doctors diagnose diseases based on symptoms ]; natural language : programming computers to understand natural human languages; neural networks: Systems that simulate intelligence by attempting to reproduce the types of physical connections that occur in animal brains and robotics : programming computers to see and hear and react to other sensory stimuli. Learn more in: Knowledge Engineering Methodology with Examples
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This is referred to as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It is sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Artificial intelligence it the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The acronym is usually AI. Learn more in: Records Management in the Fourth Industrial Revolution: Challenges and the Way Forward
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An artificial system capable of judgements approaching or exceeding human abilities, encompassing a wide range from restricted functions such as speech recognition, self-driving cars and diagnostic systems, to human level thinking and beyond. Can refer to multiple forms such as a computer program, computer system or self-contained robot. Learn more in: Thinking Machines: The Ethics of Self-Aware AI
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AI is nothing but making computers think on their own, using previous knowledge or learning from the environment. AI covers a wide range of sub-topics like machine learning and deep learning. It includes many other branches like evolutionary computation, fuzzy systems, machine learning, deep learning, computer vision, natural language processing, etc. Learn more in: Beyond the Pandemic: Survival of the Human Race and Challenges
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Artificial intelligence [AI] is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Learn more in: Zero Customer Defection
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This refers to technologies in which intellectual activity such as understanding or reasoning of languages, and problem-solving skills conducted by humans are performed by computers instead. It is also called AI. Application fields that have incorporated artificial intelligence include expert systems that organize a particular area of human knowledge, store it as data, infer and judge using data, while understanding the meaning of inquiries. Further, artificial intelligence technologies are also utilized in pattern recognition that understands languages spoken by human beings and handwriting and in machine translation systems. Learn more in: Suggestions for Communication of Information for Multicultural Co-Existence
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It is a branch of computer science concerned with making computers do things that require intelligence when done by human beings. Learn more in: Board Games AI
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Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. Learn more in: Predictive Modelling for Future Technology Development
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is an area of computer science that helps machines to sense, comprehend and learn. It also helps machines to work and react like humans do. AI can also be a mean to recognise patterns and relationships in data sets with help of machine learning [ Smart Hotel Technology Guide, 2018 ]. Learn more in: Smart Hotels and Technological Applications
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Intelligence exhibited by machines or software. It is an academic field of study which studies the goal of creating intelligence. Major AI researchers and textbooks define this field as “the study and design of intelligent agents, where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as “the science and engineering of making intelligent machines. Learn more in: AI-Based Cyber Defense for More Secure Cyberspace
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Computerized reasoning is insight shown by machines, rather than the characteristic knowledge showed by people and different creatures. In software engineering, AI =is characterized as the investigation of “keen specialists”: any gadget that sees its condition and takes activities that amplify its risk of effectively accomplishing its goals. Colloquially, the expression “manmade brainpower” is connected when a machine impersonates “subjective” capacities that people connect with other human personalities, for example, “learning” and “critical thinking.” Learn more in: Deep Learning: An Application in Internet of Things
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A field of study and development that attempts to imitate the functioning of the human mind, principally through the use of computer technology. Learn more in: Expert Systems
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Artificial intelligence [AI] is the mimicking of human thought and cognitive processes to solve complex problems automatically. AI uses techniques for writing computer code to represent and manipulate knowledge. Different techniques mimic the different ways that people think and reason. AI applications can be either stand-alone software, such as decision support software, or embedded within larger software or hardware systems. Learn more in: Electrocardiographic Signal Processing Applications in Telemedicine
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Or AI, is the most general-purpose technology of the digital era which with machine learning is regarded as the most disruptive technology and is a major source of competitive advantage. The reason why artificial intelligence is becoming so prominent is that humans cannot articulate everything they know which makes automation difficult. With artificial intelligence this is now possible enabled by the internet of things, where continuous processes are captured on an ongoing basis providing data stored and retrieved from the Cloud to be accessed for algorithm development the building block of artificial intelligence. Learn more in: Implications of Digital Transformation on the Strategy Development Process for Business Leaders
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Also abbreviated as AI, this term refers to the ability of a computer, an IT system, or a robot to complete either ordinary or complex tasks that are previously only possible for intelligent beings [such as human beings]. Some manifestations of intelligence include the ability to learn through information acquisition and interpretation, to comprehend a brand-new language, to solve problems, to reason, to develop a possible conclusion, and to generate expert insights. Learn more in: Reality-Creating Technologies as a Global Phenomenon
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Artificial intelligence [AI] insight exhibited by machines, as opposed to the regular insight showed by people and different creatures. In software engineering AI investigates is characterized as the investigation of “savvy specialists”: any gadget that sees its condition and takes activities that augment its risk of effectively accomplishing its goals. Colloquially, the expression “manmade brainpower” is connected when machine copies “intellectual” capacities that people connect with other human personalities, for example, “learning” and “issue solving.” Learn more in: Artificial Intelligence Systems in Aviation
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According to many authors, artificial intelligence can be hard to be described, but we can reduce it to two actions: [1] a set of technics and methods used to allow any device to perceive its environment and make decisions that maximize its chance of successfully achieving its goals, mimicking a living being brain. [2] Capability of a machine to learn and perform narrow, repetitive and/or delicate tasks, for example an IA focused in predict words according to the context of the writer and previous sentences will not be able to predict the amount of money a person will spent next year. Learn more in: Towards a Role-Playing Game Procedural Dungeon Generation Strategy to Help Developing Working Skills
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The field of research aimed at getting a computer to perform tasks which one would normally associate with intelligence. Mathematician Alan Turing proposed what is now called “the Turing test” to define artificial intelligence. Loosely speaking place a computer in one secluded room, and a human in another secluded room. If an observer queried these two entities, and could not identify which entity was the computer, then the computer had achieved intelligence on a par with a human. Learn more in: Logic Programming for Intelligent Systems
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Field of knowledge devoted to provide computers with skills and abilities that are usually attributed to the human being. Some examples include pattern recognition, reasoning, natural language processing, learning, et cetera. Learn more in: Learning Analytics
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Computerized thinking is understanding appeared by machines, as opposed to the trademark learning appeared by individuals and changed animals. In programming designing AI asks about is described as the examination of “sharp masters”: any device that sees its condition and goes for broke exercises that open up its danger of viably achieving its objectives. Casually, the articulation “synthetic mental ability” is associated when a machine imitates “subjective” limits that individuals interface with other human identities, for instance, “learning” and “basic reasoning.” Learn more in: Biometric Authentication Techniques and E-Learning
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Artificial intelligence [AI], sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science, AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Learn more in: Methods and Techniques of Effective Management of Complexity in Aviation
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There are multiple definitions for artificial intelligence. A common definition associates artificial intelligence to the means of a machine or software to imitate how humans reason, discover meaning, generalize, learn from past experiences, and behave. Some AI experts predict, however, the continued evolution of AI neural networks will introduce processing of information and adaptive neural networks that are very likely to become less like an imitation of human intelligence to the point of distinct forms of machine intelligence. Learn more in: AI-Augmented Developmental Instruction for Improving Contemplative Practices in the Face of Complexity
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The term “artificial intelligence” generally refers to the ability of a computer to perform functions and reasoning typical of the human mind. It covers the theory and techniques for the development of algorithms that allow computers to show an ability and/or intelligent activity, at least in specific domains. Learn more in: Artificial Neural Networks Tutorial
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Computerized reasoning is insight shown by machines, rather than the characteristic knowledge showed by people and different creatures. In software engineering, AI is characterized as the investigation of “keen specialists”: any gadget that sees its condition and takes activities that amplify its risk of effectively accomplishing its goals. Colloquially, the expression “manmade brainpower” is connected when a machine impersonates “subjective” capacities that people connect with other human personalities, for example, “learning” and “critical thinking.” Learn more in: Machine Learning for Internet of Things
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In computer science, artificial intelligence [AI], sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Learn more in: IoT Applications in Smart Home Security: Addressing Safety and Security Threats
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The theory and development of computer systems programmed through algorithmic sequences to perform tasks that normally require human intelligence, such as speech recognition, decision-making, or visual perception. Learn more in: Digital Devices and Digital Culture
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Artificial intelligence [AI] is spreading like a fire in our world. With intelligent machines enabling high level cognitive processes like thinking, perceiving, learning, problem solving and decision making, with the facility of high-level data collection and aggregation, analytics and computer processing power, Artificial Intelligence is empowering and increment human intelligence and enrich the way people be in this world and work. Learn more in: Digital Twins and Federated Learning for Smart Cities and Their Applications
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The field of research aimed at getting a computer to perform tasks which one would normally associate with intelligence. Mathematician Alan Turing proposed what is now called “the Turing test” to define artificial intelligence. Loosely speaking, place a computer in one secluded room and a human in another secluded room. If an observer queried these two entities and could not identify which entity was the computer, then the computer had achieved intelligence on a par with a human. Learn more in: A Knowledge Worker Desktop Model [KWDM] Applied to Decision Support System
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Computerized thinking is understanding appeared by machines, as opposed to the trademark learning appeared by individuals and changed animals. In programming designing, AI asks about is described as the examination of “sharp masters”: any device that sees its condition and goes for broke exercises that intensify its danger of successfully achieving its objectives. Casually, the articulation “artificial intellectual competence” is associated when a machine mimics “emotional” limits that individuals interface with other human identities, for instance, “learning” and “basic reasoning.” Learn more in: Machine Learning, Data Mining for IoT-Based Systems
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Artificial Intelligence [AI] refers to the creation of computer programs and devices for simulating brain functions and activity. It also refers to the research program aimed at designing and building intelligent artifacts. Learn more in: The Emerging Field of Technoethics
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The field of research aimed at getting a computer to perform tasks which one would normally associate with intelligence. Mathematician Alan Turing proposed what is now called “the Turing test” to define artificial intelligence. Loosely speaking, place a computer in one secluded room and a human in another secluded room. If an observer queried these two entities and could not identify which entity was the computer, then the computer had achieved intelligence on a par with a human. Learn more in: Logic Programming Languages for Expert Systems