Resumen

TORRES SOLIS, César Alberto  y  QUIROZ JUAREZ, Mario Alan. Convergence between artificial intelligence and nanotechnology. Mundo nano [online]. 2023, vol.16, n.31, 69775.  Epub 04-Sep-2023. ISSN 2448-5691.  https://doi.org/10.22201/ceiich.24485691e.2023.31.69775.

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, which are typically attributed to humans. 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.

Palabras llave : artificial intelligence; nanotechnology; neural networks; nanomaterials; nanophotonic.

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