{"id":1695,"date":"2023-12-04T10:41:45","date_gmt":"2023-12-04T02:41:45","guid":{"rendered":"https:\/\/www.1ai.net\/?p=1695"},"modified":"2023-12-04T10:41:45","modified_gmt":"2023-12-04T02:41:45","slug":"ai%e9%89%b4%e5%88%ab%e8%91%a1%e8%90%84%e9%85%92%e7%9c%9f%e4%bc%aa%e7%a7%91%e5%ad%a6%e5%ae%b6%e7%a0%94%e5%8f%91%e8%bf%bd%e6%ba%af%e8%91%a1%e8%90%84%e9%85%92%e6%ba%90%e5%a4%b4%e7%9a%84%e4%ba%ba","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/1695.html","title":{"rendered":"AI identifies wine authenticity: Scientists develop artificial intelligence tool to trace wine origins"},"content":{"rendered":"<p>Recently, scientists have successfully developed a<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b7%a5%e5%85%b7\" title=\"[View articles tagged with [artificial intelligence tools]]\" target=\"_blank\" >Artificial Intelligence Tools<\/a>, through machine learning technology, is able to pass<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%91%a1%e8%90%84%e9%85%92\" title=\"Look at the article that contains the label\" target=\"_blank\" >(grape) wine<\/a>Differences in the concentration of trace compounds in a wine can be accurately traced to its authenticity, even to specific vineyards and wineries.<\/p>\n<p>Using gas chromatography, the team conducted a 12-year chemical analysis of 80 types of wine from seven different wine houses in Bordeaux, France, and trained in this process. Unlike traditional methods, the algorithm does not seek a single compound to distinguish wine from wine, but uses all the chemicals detected in the wine to determine the most reliable \u201cchemical signature\u201d for each wine. This procedure brings together wines with similar \u201cchemical signatures\u201d by showing results on a two-dimensional grid\u3002<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1696\" title=\"202308311057072494_5\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2023\/12\/202308311057072494_5.jpg\" alt=\"202308311057072494_5\" width=\"1000\" height=\"752\" \/><\/p>\n<p>Source Note: Image courtesy of<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai\" title=\"[View articles tagged with [AI]]\" target=\"_blank\" >AI<\/a>Generated by image licensing service provider Midjourney<\/p>\n<p>Studies have shown that this method not only traces accurately to specific vineyards and wine houses, but also reveals the unique \u201cchemical notes\u201d of each bar, not just a single molecule. The results of the study not only have significant application prospects for combating wine fraud, but can also be used to monitor the process of wine production and ensure a balance between the quality and mix of wine\u3002<\/p>\n<p>However, while the program is accurate up to 99% in tracing wines to the correct winery, there are challenges in distinguishing between vintages, the<span class=\"spamTxt\">Highest<\/span>Only 50% is accurate. Nonetheless, the study, published in the journal Communication Chemistry, highlights the potential value of machine learning techniques in fraud investigations, particularly in the \u20ac2.6bn (\u00a32.6bn) of sales lost in Europe each year due to counterfeit alcohol.<\/p>\n<p>In addition to its obvious application in the fight against fraud, the head of the study said that this method could also be used to monitor the entire wine production process to ensure the quality of the blends. He noted that the use of such a tool would allow the production of<span class=\"spamTxt\">Top<\/span>The cost of wine is reduced, thus benefiting more people.<\/p>","protected":false},"excerpt":{"rendered":"<p>In recent days, scientists have been successful in developing an artificial intelligence tool that, through machine-learning techniques, can accurately trace the authenticity of wine through the concentration of trace compounds in wine, even to specific vineyards and liquor houses. Using gas chromatography, the research team conducted a 12-year chemical analysis of 80 types of wine in seven different wine houses in Bordeaux, France, and trained the programme. Unlike the traditional approach, the algorithm does not seek a single compound to distinguish wine from wine, but uses all the chemicals detected in the wine to determine the most reliable \u201cchemical signature\u201d for each wine. This procedure brings together wines with similar \u201cchemical signatures\u201d by showing results on a two-dimensional grid. Source Remarks<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[411,544,545],"collection":[],"class_list":["post-1695","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-544","tag-545"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/1695","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=1695"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/1695\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=1695"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=1695"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=1695"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=1695"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}