Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
AI (Artificial Intelligence) - traducción al Inglés
Ex: Developments in Artificial Intelligence (AI) and related areas are discussed in terms of their impact on school library media centres and the role of library media specialists.
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* AI-based = basado en la inteligencia artificial
![AI patent families for functional application categories and sub categories. [[Computer vision]] represents 49 percent of patent families related to a functional application in 2016.](https://commons.wikimedia.org/wiki/Special:FilePath/AI Patent families for functional application categories and sub categories.png?width=200 "AI patent families for functional application categories and sub categories. [[Computer vision]] represents 49 percent of patent families related to a functional application in 2016.")
![The word "robot" itself was coined by [[Karel Čapek]] in his 1921 play ''[[R.U.R.]]'', the title standing for "Rossum's Universal Robots".](https://commons.wikimedia.org/wiki/Special:FilePath/Capek play.jpg?width=200 "The word \"robot\" itself was coined by [[Karel Čapek]] in his 1921 play ''[[R.U.R.]]'', the title standing for \"Rossum's Universal Robots\".")
![Silver [[didrachma]] from [[Crete]] depicting [[Talos]], an ancient mythical [[automaton]] with artificial intelligence](https://commons.wikimedia.org/wiki/Special:FilePath/Didrachm Phaistos obverse CdM.jpg?width=200 "Silver [[didrachma]] from [[Crete]] depicting [[Talos]], an ancient mythical [[automaton]] with artificial intelligence")
![For this project of the artist Joseph Ayerle the AI had to learn the typical patterns in the colors and brushstrokes of Renaissance painter [[Raphael]]. The portrait shows the face of the actress [[Ornella Muti]], "painted" by AI in the style of Raphael.](https://commons.wikimedia.org/wiki/Special:FilePath/Joseph Ayerle portrait of Ornella Muti (detail), calculated by Artificial Intelligence (AI) technology.jpg?width=200 "For this project of the artist Joseph Ayerle the AI had to learn the typical patterns in the colors and brushstrokes of Renaissance painter [[Raphael]]. The portrait shows the face of the actress [[Ornella Muti]], \"painted\" by AI in the style of Raphael.")
![particle swarm]] seeking the [[global minimum]]](https://commons.wikimedia.org/wiki/Special:FilePath/ParticleSwarmArrowsAnimation.gif?width=200 "particle swarm]] seeking the [[global minimum]]")
![Feature detection]] (pictured: [[edge detection]]) helps AI compose informative abstract structures out of raw data.](https://commons.wikimedia.org/wiki/Special:FilePath/Ääretuvastuse näide.png?width=200 "Feature detection]] (pictured: [[edge detection]]) helps AI compose informative abstract structures out of raw data.")
Ex: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.
Definición
Wikipedia
Weak artificial intelligence (weak AI) is artificial intelligence that implements a limited part of mind, or, as narrow AI, is focused on one narrow task. In John Searle's terms it “would be useful for testing hypotheses about minds, but would not actually be minds”. Weak artificial intelligence focuses on mimicking how humans perform basic actions such as remembering things, perceiving things, and solving simple problems. As opposed to strong AI, which uses technology to be able to think and learn on its own. Computers are able to use methods such as algorithms and prior knowledge to develop their own ways of thinking like human beings do. Strong artificial intelligence systems are learning how to run independently of the programmers who programmed them. Weak AI is not able to have a mind of its own, and can only imitate physical behaviors that it can observe.
It is contrasted with Strong AI, which is defined variously as:
- Artificial general intelligence: a machine with the ability to apply intelligence to any problem, rather than just one specific problem.
- Human-level intelligence: a machine with a similar intelligence to an average human being.
- Superintelligence: a machine with a vastly superior intelligence to the average human being.
- Artificial consciousness: a machine that has consciousness, sentience and mind.
Scholars like Antonio Lieto have argued that the current research on both AI and cognitive modelling are perfectly aligned with the weak-AI hypothesis (that should not be confused with the "general" vs "narrow" AI distinction) and that the popular assumption that cognitively inspired AI systems espouse the strong AI hypothesis is ill-posed and problematic since "artificial models of brain and mind can be used to understand mental phenomena without pretending that that they are the real phenomena that they are modelling" (p. 85) (as, on the other hand, implied by the strong AI assumption).
AI can be classified as being “… limited to a single, narrowly defined task. Most modern AI systems would be classified in this category.” Narrow means the robot or computer is strictly limited to only being able to solve one problem at a time. Strong AI is conversely the opposite. Strong AI is as close to the human brain or mind as possible. This is all believed to be the case by philosopher John Searle. This idea of strong AI is also controversial, and Searle believes that the Turing test (created by Alan Turing during WW2, originally called the Imitation Game, used to test if a machine is as intelligent as a human) is not accurate or appropriate for testing strong AI.
