{"id":10463,"date":"2024-03-03T13:13:38","date_gmt":"2024-03-03T13:13:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=10463"},"modified":"2024-03-04T11:18:19","modified_gmt":"2024-03-04T11:18:19","slug":"researchers-use-machine-learning-to-copy-and-replicate-fragrances","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/","title":{"rendered":"Los investigadores utilizan el aprendizaje autom\u00e1tico para copiar y replicar fragancias"},"content":{"rendered":"

La inteligencia artificial est\u00e1 cambiando nuestra forma de pensar sobre la conservaci\u00f3n de los aromas y puede rescatar fragancias raras que est\u00e1n a punto de desaparecer.\u00a0<\/b><\/p>\n

Idelfonso Nogueira y su equipo de la Universidad Noruega de Ciencia y Tecnolog\u00eda demostraron que la IA pod\u00eda elaborar f\u00f3rmulas para recrear perfumes.<\/span><\/p>\n

En estudiar<\/a> consiste en perfilar las fragancias seg\u00fan su \"familia olfativa\" -t\u00e9rminos descriptivos como \"picante\" o \"almizcle\"- y su \"valor olfativo\", que mide la intensidad de un olor.\u00a0<\/span><\/p>\n

Por ejemplo, encontraron una fragancia con un alto valor de olor \"cumar\u00ednico\" (que recuerda a la vainilla) y otra que era notablemente \"alcoh\u00f3lica\".\u00a0<\/span><\/p>\n

Los investigadores pretenden utilizar este proceso para preservar olores oscuros y raros -como los obtenidos de entornos naturales cambiantes o plantas al borde de la extinci\u00f3n- replic\u00e1ndolos a partir de una sola muestra.<\/span><\/p>\n

Tambi\u00e9n podr\u00eda permitir un proceso eficiente y reproducible para crear perfumes, una tarea que suele requerir un considerable esfuerzo de ensayo y error.\u00a0<\/span><\/p>\n

Desglose metodol\u00f3gico<\/h2>\n

El primer paso consiste en analizar las fragancias objetivo para comprender sus perfiles olfativos, incluidas sus familias olfativas (como \"picante\" o \"almizcle\") y su intensidad.\u00a0<\/span><\/p>\n

A continuaci\u00f3n, utilizando una red neuronal de grafos cerrados (GGNN) entrenada en una amplia base de datos de mol\u00e9culas, el equipo genera nuevas mol\u00e9culas que podr\u00edan replicar la fragancia diana.\u00a0<\/span><\/p>\n

\"Aroma
Metodolog\u00eda del estudio. Fuente: V\u00eda ArXiv<\/a><\/figcaption><\/figure>\n

Este proceso consta de dos fases: el entrenamiento de la GGNN con mol\u00e9culas conocidas para aprender la relaci\u00f3n entre las estructuras moleculares y sus olores y, a continuaci\u00f3n, la generaci\u00f3n de nuevas mol\u00e9culas que se ajusten al perfil olfativo deseado mediante el aprendizaje por transferencia.<\/span><\/p>\n

Nogueira explica que la percepci\u00f3n del olor cambia debido a las interacciones f\u00edsicas y qu\u00edmicas que sufren las mol\u00e9culas con el aire o la piel.\u00a0<\/span>Para reproducir con precisi\u00f3n los aromas originales, seleccionaron mol\u00e9culas generadas por IA que se evaporaban de forma similar a las de las fragancias originales, abordando el reto de capturar la naturaleza ef\u00edmera de las \"notas de salida\" y la longevidad de las \"notas de fondo\".<\/span><\/p>\n

Tras generar una serie de mol\u00e9culas, el equipo selecciona las que mejor se ajustan al perfil olfativo de la fragancia objetivo en funci\u00f3n de su presi\u00f3n de vapor y sus notas olfativas.\u00a0<\/span><\/p>\n

La etapa final consiste en optimizar la formulaci\u00f3n del perfume para que coincida con el aroma original. Este proceso tiene en cuenta la intensidad de las distintas familias olfativas de la fragancia y ajusta su composici\u00f3n molecular en consecuencia.<\/span><\/p>\n

Una de las fragancias producidas con este m\u00e9todo reproduc\u00eda fielmente el original, con peque\u00f1as desviaciones en sus notas \"cumar\u00ednicas\" y \"picantes\". La otra era casi id\u00e9ntica.\u00a0<\/span><\/p>\n

Los autores sugieren que ampliar la base de datos para incluir mol\u00e9culas m\u00e1s complejas podr\u00eda mejorar la precisi\u00f3n de estas fragancias generadas por IA, ofreciendo una soluci\u00f3n m\u00e1s barata y sostenible para la industria del perfume, que actualmente se enfrenta a costes elevados y largos plazos de desarrollo.<\/span><\/p>\n

Nogueira est\u00e1 a punto de seguir probando la tecnolog\u00eda experimentando de primera mano algunas de las fragancias generadas por IA en el laboratorio de un colega en Liubliana (Eslovenia). <\/span>\"Me hace mucha ilusi\u00f3n olerlos\", afirma.<\/span><\/p>\n

La IA tiene numerosos usos novedosos en aplicaciones menos sospechosas, como cuando los investigadores utilizaron redes neuronales para geolocalizar los perfiles de sabor \u00fanicos del vino<\/a> para esclarecer la base qu\u00edmica del terru\u00f1o.<\/p>","protected":false},"excerpt":{"rendered":"

La inteligencia artificial est\u00e1 cambiando nuestra forma de pensar sobre la conservaci\u00f3n de los aromas y puede rescatar fragancias raras que est\u00e1n a punto de desaparecer. Idelfonso Nogueira y su equipo de la Universidad Noruega de Ciencia y Tecnolog\u00eda han demostrado que la IA puede elaborar f\u00f3rmulas para recrear perfumes. El estudio consiste en perfilar fragancias seg\u00fan su \"familia olfativa\" -t\u00e9rminos descriptivos como \"picante\" o \"almizcle\"- y su \"valor de olor\", que mide la intensidad de un olor. Por ejemplo, encontraron una fragancia con un alto valor de olor \"cumar\u00ednico\" (que recuerda a la vainilla) y otra notablemente \"alcoh\u00f3lica\". Los investigadores pretenden utilizar este proceso para conservar<\/p>","protected":false},"author":2,"featured_media":10465,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[105],"class_list":["post-10463","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-machine-learning"],"yoast_head":"\nResearchers use machine learning to copy and replicate fragrances | DailyAI<\/title>\n<meta name=\"description\" content=\"AI is changing how we think about preserving scents, potentially rescuing rare fragrances that are on the brink of disappearing.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/\" \/>\n<meta property=\"og:locale\" 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