{"id":8025,"date":"2023-12-05T20:35:58","date_gmt":"2023-12-05T20:35:58","guid":{"rendered":"https:\/\/dailyai.com\/?p=8025"},"modified":"2023-12-05T22:17:09","modified_gmt":"2023-12-05T22:17:09","slug":"machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/12\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\/","title":{"rendered":"Maskinl\u00e6ring dechifrerer Bordeaux-vinens oprindelse med utrolig n\u00f8jagtighed"},"content":{"rendered":"<p><b>En maskinl\u00e6ringsalgoritme har nu demonstreret evnen til at identificere oprindelsen af Bordeaux-r\u00f8dvine ved at analysere deres kemiske sammens\u00e6tning.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Vinentusiaster er stolte af at opdage \"r\u00f8gede overtoner\" eller \"noter af fersken og blomme\", men AI kan lokalisere det pr\u00e6cise slot, som en vin stammer fra.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det sp\u00e6ndende <\/span><a href=\"https:\/\/www.nature.com\/articles\/s42004-023-01051-9\"><span style=\"font-weight: 400;\">unders\u00f8gelse<\/span><\/a><span style=\"font-weight: 400;\"> ledet af Alexandre Pouget ved universitetet i Gen\u00e8ve i Schweiz opdagede, at vine fra forskellige godser i Bordeaux har unikke kemiske signaturer.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Holdet analyserede 80 r\u00f8dvine fra 12 \u00e5rgange fra 1990 til 2007, som alle stammede fra syv ber\u00f8mte Bordeaux-slotte. Pouget forklarede om unders\u00f8gelsen: \"Vi var interesserede i at finde ud af, om der er en kemisk signatur, som er specifik for hvert af disse slotte, og som er uafh\u00e6ngig af \u00e5rgangen.\"\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M\u00e5let var at finde ud af, om vine fra en enkelt ving\u00e5rd konsekvent udviser en lignende kemisk profil. Vinentusiaster har m\u00e5ske h\u00f8rt om ordet \"terroir\", som beskriver de milj\u00f8m\u00e6ssige faktorer, der p\u00e5virker en drues f\u00e6notype, herunder unikke milj\u00f8m\u00e6ssige sammenh\u00e6nge, en afgr\u00f8des specifikke v\u00e6ksthabitat og endda specifikke landbrugsmetoder.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For at analysere eksistensen eller frav\u00e6ret af et kontinuerligt terroir p\u00e5 tv\u00e6rs af vinene fordampede teamet v\u00e6sken for at adskille deres kemiske komponenter, hvilket resulterede i et kromatogram for hver vin. Hvert kromatogram, der best\u00e5r af omkring 30.000 punkter, repr\u00e6senterer et stort udvalg af forskellige kemiske forbindelser.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">73 af disse kromatogrammer blev sammen med oplysninger om slottene og \u00e5rgangene brugt til at tr\u00e6ne en algoritme. Test af de resterende syv kromatogrammer blev gentaget 50 gange med varierende vinpr\u00f8ver.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Et kemisk grundlag for terroir\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Da algoritmen var tr\u00e6net, var den sl\u00e5ende og kunne identificere vinens oprindelsesslot med 100% n\u00f8jagtighed. Pouget bem\u00e6rker, hvor vanskeligt det er, og siger: \"Det er ikke mange mennesker i verden, der vil kunne g\u00f8re det.\" <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Algoritmen viste ogs\u00e5 omkring 50% n\u00f8jagtighed i bestemmelsen af \u00e5rgangen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unders\u00f8gelsen viste ogs\u00e5, at algoritmen effektivt kunne identificere ejendommen ved kun at bruge 5% af hvert kromatogram. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pouget siger, at dette beviser, at en vins karakteristiske smag og tekstur er formet af den kollektive koncentration af mange molekyler snarere end blot nogle f\u00e5 n\u00f8gleelementer - et objektivt grundlag for det flygtige terroir.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Desuden var det bem\u00e6rkelsesv\u00e6rdigt, at algoritmen kunne gruppere vine fra lignende regioner ved at analysere kromatogramdataene. Den skelnede f.eks. mellem vine fra Garonne-flodens h\u00f8jre bred, som Pomerol og St-Emilion, og vine fra den venstre bred, som f.eks. vine fra Medoc.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Denne forskning afd\u00e6kker den dybe indflydelse, som terroir - der omfatter lokal geografi, klima, mikrober og vinfremstillingsmetoder - har p\u00e5 en vins unikke smagsprofil. <\/span><span style=\"font-weight: 400;\">Det n\u00e6ste skridt er m\u00e5ske at finde ud af, hvilke stoffer der har disse effekter, og hvordan de opst\u00e5r.\u00a0<\/span><\/p>\n<p>AI er m\u00e5ske den nye sommelier, og den f\u00e5r aldrig t\u00f8mmerm\u00e6nd.<\/p>","protected":false},"excerpt":{"rendered":"<p>En maskinl\u00e6ringsalgoritme har nu demonstreret evnen til at identificere oprindelsen af Bordeaux-r\u00f8dvine ved at analysere deres kemiske sammens\u00e6tning. Vinentusiaster er stolte af at opdage \"r\u00f8gede overtoner\" eller \"noter af fersken og blomme\", men AI kan lokalisere det pr\u00e6cise slot, som en vin stammer fra.  Den sp\u00e6ndende unders\u00f8gelse ledet af Alexandre Pouget ved universitetet i Gen\u00e8ve i Schweiz opdagede, at vine fra forskellige vinslotte i Bordeaux har unikke kemiske signaturer.  Holdet analyserede 80 r\u00f8dvine fra 12 \u00e5rgange fra 1990 til 2007, som alle stammede fra syv ber\u00f8mte Bordeaux-slotte. Pouget forklarer om unders\u00f8gelsen: \"Vi var interesserede i<\/p>","protected":false},"author":2,"featured_media":8026,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[105],"class_list":["post-8025","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Machine learning deciphers Bordeaux wine origins with incredible accuracy | DailyAI<\/title>\n<meta name=\"description\" content=\"A machine-learning algorithm has now demonstrated the capability to identify the origin of Bordeaux red wines by analyzing their chemical makeup.\" \/>\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\/da\/2023\/12\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine learning deciphers Bordeaux wine origins with incredible accuracy | DailyAI\" \/>\n<meta property=\"og:description\" content=\"A machine-learning algorithm has now demonstrated the capability to identify the origin of Bordeaux red wines by analyzing their chemical makeup.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2023\/12\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-05T20:35:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-05T22:17:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/pexels-markus-spiske-121191-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1772\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"Machine learning deciphers Bordeaux wine origins with incredible accuracy\",\"datePublished\":\"2023-12-05T20:35:58+00:00\",\"dateModified\":\"2023-12-05T22:17:09+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\\\/\"},\"wordCount\":449,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/machine-learning-deciphers-bordeaux-wine-origins-with-incredible-accuracy\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/pexels-markus-spiske-121191-scaled.jpg\",\"keywords\":[\"machine learning\"],\"articleSection\":[\"Ethics &amp; 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