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Showing results for artificial intelligence. Search instead for artificial-intelligenceof.
Synonyms

artificial intelligence

American  
[ahr-tuh-fish-uhl in-tel-i-juhns] / ˌɑr təˈfɪʃ əl ɪnˈtɛl ɪ dʒəns /

noun

Computers, Digital Technology.
    1. the capacity of a computer, robot, programmed device, or software application to perform operations and tasks analogous to learning and decision making in humans, such as speech recognition or question answering. AI, A.I.

    2. a computer, robot, programmed device, or software application having this humanlike capacity: AI, A.I.

      teaching human values to artificial intelligences.

  1. the branch of computer science involved with the design of computers, robots, programmed devices, and software applications having the capacity to imitate human intelligence and thought. AI, A.I.


artificial intelligence British  

noun

  1.  AI.  the study of the modelling of human mental functions by computer programs

"Collins English Dictionary — Complete & Unabridged" 2012 Digital Edition © William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012

artificial intelligence Scientific  
  1. The ability of a computer or other machine to perform actions thought to require intelligence. Among these actions are logical deduction and inference, creativity, the ability to make decisions based on past experience or insufficient or conflicting information, and the ability to understand spoken language.


artificial intelligence Cultural  
  1. The means of duplicating or imitating intelligence in computers, robots, or other devices, which allows them to solve problems, discriminate among objects, and respond to voice commands.


Closer Look

The goal of research on artificial intelligence is to understand the nature of thought and intelligent behavior and to design intelligent systems. A computer is not really intelligent; it just follows directions very quickly. At the same time, it is the speed and memory of modern computers that allows researchers to manage the huge quantities of data necessary to model human thought and behavior. An intelligent machine would be more flexible than a computer and would engage in the kind of “thinking” that people actually do. An example is vision. In theory, a network of sensors combined with systems for interpreting the data could produce the kind of pattern recognition that we take for granted as seeing and understanding what we see. In fact, developing software that can recognize subtle differences in objects (such as those we use to recognize human faces) is very difficult. The recognition of differences that we can perceive without deliberate effort would require massive amounts of data and elaborate guidelines to be recognized by an artificial intelligence system. According to the famous Turing Test, proposed in 1950 by British mathematician and logician Alan Turing, a machine would be considered intelligent if it could convince human observers that another human, rather than a machine, was answering their questions in conversation.

Etymology

Origin of artificial intelligence

First recorded in 1955–60

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

Space missions and artificial intelligence are both key to humanity’s future, but one looks like a better investment than the other right now.

From Barron's • May 29, 2026

Banks are also benefiting from the mad dash by companies to invest in infrastructure and technology related to artificial intelligence, executives said.

From The Wall Street Journal • May 29, 2026

Layoffs have continued with another tech company saying it was cutting people to enable it to use more artificial intelligence.

From Los Angeles Times • May 29, 2026

Others seemed motivated by a growing concern that, whether they embraced artificial intelligence or not, they could no longer afford to ignore it.

From Los Angeles Times • May 28, 2026

But the creative challenge is much higher up the food chain—in computing labs, medical research, artificial intelligence, advanced programming for institutions like NASA, and Web design and development—all requiring higher education.

From "Geeks: How Two Lost Boys Rode the Internet Out of Idaho" by Jon Katz

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