{"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\/nl\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/","title":{"rendered":"Onderzoekers gebruiken machine learning om geuren te kopi\u00ebren en na te maken"},"content":{"rendered":"

AI verandert de manier waarop we denken over het bewaren van geuren en kan mogelijk zeldzame geuren redden die op het punt staan te verdwijnen.\u00a0<\/b><\/p>\n

Idelfonso Nogueira en zijn team van de Noorse Universiteit voor Wetenschap en Technologie toonden aan dat AI formules kan maken om parfums na te maken.<\/span><\/p>\n

De onderzoek<\/a> bestaat uit het profileren van geuren op basis van hun \"geurfamilie\" - beschrijvende termen zoals \"kruidig\" of \"muskus\" - en hun \"geurwaarde\", die de intensiteit van een geur meet.\u00a0<\/span><\/p>\n

Ze vonden bijvoorbeeld een geur met een hoge geurwaarde voor \"cumarine\" (doet denken aan vanille) en een andere geur die opvallend \"alcoholisch\" was.\u00a0<\/span><\/p>\n

De onderzoekers willen dit proces gebruiken om obscure en zeldzame geuren bewaren - zoals die uit veranderende natuurlijke omgevingen of planten die op het punt van uitsterven staan - door ze te repliceren uit \u00e9\u00e9n enkel monster.<\/span><\/p>\n

Het zou ook een effici\u00ebnt, reproduceerbaar proces mogelijk kunnen maken voor het cre\u00ebren van parfums, een taak die meestal veel vallen en opstaan vereist.\u00a0<\/span><\/p>\n

Uitsplitsing methodologie<\/h2>\n

De eerste stap bestaat uit het analyseren van doelgeuren om hun geurprofiel te begrijpen, inclusief hun geurfamilies (zoals \"kruidig\" of \"muskus\") en hun intensiteit.\u00a0<\/span><\/p>\n

Vervolgens genereert het team, met behulp van een GGNN (Gated Graph Neural Network) dat is getraind op een enorme database van moleculen, nieuwe moleculen die mogelijk de doelgeur kunnen repliceren.\u00a0<\/span><\/p>\n

\"AI-geur\"
De onderzoeksmethodologie. Bron: Via ArXiv<\/a><\/figcaption><\/figure>\n

Dit proces omvat twee fasen: het GGNN trainen met bekende moleculen om de relatie tussen moleculaire structuren en hun geuren te leren en vervolgens nieuwe moleculen genereren die overeenkomen met het gewenste geurprofiel door middel van transfer learning.<\/span><\/p>\n

Nogueira legt uit dat de perceptie van geur verandert door de fysieke en chemische interacties die moleculen ondergaan met lucht of huid.\u00a0<\/span>Om de originele geuren nauwkeurig na te bootsen, selecteerden ze door AI gegenereerde moleculen die op dezelfde manier verdampen als de moleculen in de originele geuren, om zo de uitdaging aan te gaan om de vergankelijke aard van \"topnoten\" en de lange levensduur van \"basisnoten\" vast te leggen.<\/span><\/p>\n

Na het genereren van een reeks moleculen selecteert het team de moleculen die het beste passen bij het geurprofiel van de doelgeur op basis van hun dampdruk en geurnoten.\u00a0<\/span><\/p>\n

In de laatste fase wordt de parfumformulering geoptimaliseerd om overeen te komen met de originele geur. Dit proces houdt rekening met de intensiteit van verschillende geurfamilies in de geur en past de moleculaire samenstelling van de geur dienovereenkomstig aan.<\/span><\/p>\n

Een van de geuren die met deze methode werd geproduceerd, kwam sterk overeen met het origineel, met kleine afwijkingen in de \"cumarine\" en \"scherpe\" noten. De andere was bijna een exacte match.\u00a0<\/span><\/p>\n

De auteurs suggereren dat het uitbreiden van de database met complexere moleculen de nauwkeurigheid van deze door AI gegenereerde geuren zou kunnen verbeteren, wat een goedkopere en duurzamere oplossing zou kunnen zijn voor de parfumindustrie, die momenteel te maken heeft met hoge kosten en lange ontwikkelingstijden.<\/span><\/p>\n

Nogueira is klaar om de technologie verder te testen door enkele van de door AI gegenereerde geuren uit eerste hand te ervaren in het laboratorium van een collega in Ljubljana, Sloveni\u00eb. <\/span>\"Ik ben erg opgewonden om ze te ruiken,\" zegt hij.<\/span><\/p>\n

AI heeft tal van nieuwe toepassingen in minder verdachte toepassingen, zoals toen onderzoekers neurale netwerken gebruikten om geolocaties te bepalen... unieke smaakprofielen van wijn<\/a> om de chemische basis van terroir te belichten.<\/p>","protected":false},"excerpt":{"rendered":"

AI verandert de manier waarop we denken over het bewaren van geuren en kan mogelijk zeldzame geuren redden die op het punt staan te verdwijnen. Idelfonso Nogueira en zijn team van de Noorse Universiteit voor Wetenschap en Technologie toonden aan dat AI formules kan maken om parfums na te maken. Het onderzoek bestaat uit het profileren van geuren op basis van hun \"geurfamilie\" - beschrijvende termen zoals \"kruidig\" of \"muskus\" - en hun \"geurwaarde\", die de intensiteit van een geur meet. Ze vonden bijvoorbeeld een geur met een hoge geurwaarde voor \"cumarine\" (doet denken aan vanille) en een andere geur die opvallend \"alcoholisch\" was. De onderzoekers zijn van plan om dit proces te gebruiken om<\/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\/nl\/2024\/03\/researchers-use-machine-learning-to-copy-and-replicate-fragrances\/\" \/>\n<meta property=\"og:locale\" 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