{"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\/de\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/","title":{"rendered":"Forscher nutzen maschinelles Lernen zum Kopieren und Reproduzieren von D\u00fcften"},"content":{"rendered":"

KI ver\u00e4ndert die Art und Weise, wie wir \u00fcber die Bewahrung von D\u00fcften denken, und rettet m\u00f6glicherweise seltene D\u00fcfte, die vom Verschwinden bedroht sind.\u00a0<\/b><\/p>\n

Idelfonso Nogueira und sein Team von der Norwegian University of Science and Technology haben gezeigt, dass KI Formeln zur Herstellung von Parf\u00fcms entwickeln kann.<\/span><\/p>\n

Die Studie<\/a> umfasst die Erstellung von Duftprofilen nach ihrer \"Duftfamilie\" - beschreibende Begriffe wie \"w\u00fcrzig\" oder \"Moschus\" - und ihrem \"Geruchswert\", der die Intensit\u00e4t eines Geruchs misst.\u00a0<\/span><\/p>\n

So fanden sie zum Beispiel einen Duft mit einem hohen Geruchswert f\u00fcr \"kumarin\" (erinnert an Vanille) und einen anderen, der besonders \"alkoholisch\" war.\u00a0<\/span><\/p>\n

Die Forscher beabsichtigen, diesen Prozess zu nutzen, um seltene Ger\u00fcche zu bewahren - wie z. B. Ger\u00fcche, die aus sich ver\u00e4ndernden nat\u00fcrlichen Umgebungen oder vom Aussterben bedrohten Pflanzen stammen - indem sie aus einer einzigen Probe reproduziert werden.<\/span><\/p>\n

Es k\u00f6nnte auch ein effizientes, reproduzierbares Verfahren f\u00fcr die Herstellung von Parf\u00fcms erm\u00f6glichen, eine Aufgabe, die in der Regel viel Versuch und Irrtum erfordert.\u00a0<\/span><\/p>\n

Aufschl\u00fcsselung der Methodik<\/h2>\n

Der erste Schritt besteht darin, die Zield\u00fcfte zu analysieren, um ihre Duftprofile zu verstehen, einschlie\u00dflich ihrer Duftfamilien (wie \"w\u00fcrzig\" oder \"Moschus\") und ihrer Intensit\u00e4t.\u00a0<\/span><\/p>\n

Mit Hilfe eines Gated Graph Neural Network (GGNN), das auf einer riesigen Molek\u00fcldatenbank trainiert wurde, generiert das Team dann neue Molek\u00fcle, die den Zielduft potenziell replizieren k\u00f6nnten.\u00a0<\/span><\/p>\n

\"AI-Duft\"
Die Methodik der Studie. Quelle: \u00dcber ArXiv<\/a><\/figcaption><\/figure>\n

Dieser Prozess umfasst zwei Phasen: das Training des GGNN mit bekannten Molek\u00fclen, um die Beziehung zwischen den Molek\u00fclstrukturen und ihren D\u00fcften zu erlernen, und die anschlie\u00dfende Generierung neuer Molek\u00fcle, die dem gew\u00fcnschten Duftprofil durch Transferlernen entsprechen.<\/span><\/p>\n

Nogueira erkl\u00e4rt, dass sich die Geruchswahrnehmung aufgrund der physikalischen und chemischen Wechselwirkungen, die Molek\u00fcle mit der Luft oder der Haut eingehen, ver\u00e4ndert.\u00a0<\/span>Um die Originald\u00fcfte genau nachzubilden, w\u00e4hlten sie KI-generierte Molek\u00fcle aus, die \u00e4hnlich verdunsten wie die der Originald\u00fcfte, und stellten sich so der Herausforderung, die Fl\u00fcchtigkeit der Kopfnoten und die Langlebigkeit der Basisnoten einzufangen.<\/span><\/p>\n

Nach der Erstellung einer Reihe von Molek\u00fclen w\u00e4hlt das Team diejenigen aus, die dem Duftprofil des Zielparf\u00fcms am besten entsprechen, und zwar auf der Grundlage ihres Dampfdrucks und ihrer Duftnoten.\u00a0<\/span><\/p>\n

In der letzten Phase wird die Parf\u00fcmformulierung so optimiert, dass sie dem Originalduft entspricht. Bei diesem Prozess wird die Intensit\u00e4t der verschiedenen Duftfamilien im Parf\u00fcm ber\u00fccksichtigt und die molekulare Zusammensetzung des Parf\u00fcms entsprechend angepasst.<\/span><\/p>\n

Einer der mit dieser Methode hergestellten D\u00fcfte war dem Original sehr \u00e4hnlich, mit geringf\u00fcgigen Abweichungen bei den \"kumarinischen\" und \"scharfen\" Noten. Der andere war fast eine exakte \u00dcbereinstimmung.\u00a0<\/span><\/p>\n

Die Autoren schlagen vor, dass die Ausweitung der Datenbank auf komplexere Molek\u00fcle die Genauigkeit dieser KI-generierten D\u00fcfte verbessern k\u00f6nnte und damit eine kosteng\u00fcnstigere und nachhaltigere L\u00f6sung f\u00fcr die Parf\u00fcmindustrie bietet, die derzeit mit hohen Kosten und langen Entwicklungszeiten konfrontiert ist.<\/span><\/p>\n

Nogueira ist bereit, die Technologie weiter zu testen, indem er einige der KI-generierten D\u00fcfte im Labor eines Kollegen in Ljubljana, Slowenien, selbst ausprobiert. <\/span>\"Ich bin sehr gespannt darauf, sie zu riechen\", sagt er.<\/span><\/p>\n

KI hat zahlreiche neuartige Anwendungen in weniger verd\u00e4chtigen Bereichen, wie z. B. die Verwendung neuronaler Netze durch Forscher zur Geolokalisierung die einzigartigen Geschmacksprofile des Weins<\/a> die chemischen Grundlagen des Terroirs zu beleuchten.<\/p>","protected":false},"excerpt":{"rendered":"

KI ver\u00e4ndert die Art und Weise, wie wir \u00fcber die Bewahrung von D\u00fcften nachdenken, und k\u00f6nnte seltene D\u00fcfte retten, die vom Verschwinden bedroht sind. Idelfonso Nogueira und sein Team an der Norwegischen Universit\u00e4t f\u00fcr Wissenschaft und Technologie haben gezeigt, dass KI Formeln zur Wiederherstellung von Parf\u00fcms entwickeln kann. Im Rahmen der Studie wurden Profile von D\u00fcften anhand ihrer \"Duftfamilie\" - beschreibende Begriffe wie \"w\u00fcrzig\" oder \"Moschus\" - und ihres \"Geruchswertes\" erstellt, der die Intensit\u00e4t eines Duftes angibt. So fanden sie beispielsweise einen Duft mit einem hohen Geruchswert f\u00fcr \"kumarin\" (erinnert an Vanille) und einen anderen, der besonders \"alkoholisch\" war. Die Forscher beabsichtigen, dieses Verfahren zur Konservierung von<\/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\/de\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/\" \/>\n<meta property=\"og:locale\" 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