{"id":197317,"date":"2024-10-09T17:24:16","date_gmt":"2024-10-09T22:24:16","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/10\/electronic-tongue-uses-ai-to-detect-differences-in-liquids"},"modified":"2024-10-09T17:24:16","modified_gmt":"2024-10-09T22:24:16","slug":"electronic-tongue-uses-ai-to-detect-differences-in-liquids","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/10\/electronic-tongue-uses-ai-to-detect-differences-in-liquids","title":{"rendered":"Electronic Tongue Uses AI to Detect Differences in Liquids"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/electronic-tongue-uses-ai-to-detect-differences-in-liquids2.jpg\"><\/a><\/p>\n<p><strong>Summary: <\/strong>Researchers have developed an AI-powered \u201celectronic tongue\u201d capable of distinguishing subtle differences in liquids, such as milk freshness, soda types, and coffee blends. By analyzing sensor data through a neural network, the device achieved over 95% accuracy in identifying liquid quality, authenticity, and potential safety issues. Interestingly, when the AI was allowed to select its own analysis parameters, it outperformed human-defined settings, showing how it holistically assessed subtle data.<\/p>\n<p>This technology, which uses graphene-based sensors, could revolutionize food safety assessments and potentially extend to medical diagnostics. The device\u2019s AI insights also provide a unique view into the neural network\u2019s decision-making process. This innovation promises practical applications across industries where quality and safety are paramount.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Summary: Researchers have developed an AI-powered \u201celectronic tongue\u201d capable of distinguishing subtle differences in liquids, such as milk freshness, soda types, and coffee blends. By analyzing sensor data through a neural network, the device achieved over 95% accuracy in identifying liquid quality, authenticity, and potential safety issues. Interestingly, when the AI was allowed to select [\u2026]<\/p>\n","protected":false},"author":599,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1506,6],"tags":[],"class_list":["post-197317","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-food","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/197317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/599"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=197317"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/197317\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=197317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=197317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=197317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}