Convergence between artificial intelligence and nanotechnology
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Abstract
Nanotechnology and artificial intelligence are two scientific fields that individually have promoted a scientific and technological revolution across the globe. While nanotechnology enables the manipulation of matter at nanometric scales to develop applications and technologies with unique properties, artificial intelligence emerges as a set of effective techniques to potentiate computer systems that perform tasks of classification, optimization, prediction, and pattern recognition, imitating the capabilities of the human being. The intersection between both fields constitutes a multidisciplinary and modern research area that promises to boost a new generation of technologies and address critical challenges that contribute to the advancement of science. This work presents a general review of the efforts reported in the literature where the self-learning attributes of some artificial intelligence algorithms are exploited in the context of nanotechnology. Additionally, future trends and perspectives where these fields converge are discussed.
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Mundo Nano. Revista Interdisciplinaria en Nanociencias y Nanotecnología por Universidad Nacional Autónoma de México se distribuye bajo una Licencia Creative Commons Atribución-NoComercial 4.0 Internacional.
Basada en una obra en http://www.mundonano.unam.mx.
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