{"id":786,"date":"2024-06-05T00:01:36","date_gmt":"2024-06-05T00:01:36","guid":{"rendered":"https:\/\/tradetrovex.com\/index.php\/2024\/06\/05\/ai-to-watch-every-spoonful-you-eat-and-calculate-your-calorie-consumption\/"},"modified":"2024-06-05T00:01:36","modified_gmt":"2024-06-05T00:01:36","slug":"ai-to-watch-every-spoonful-you-eat-and-calculate-your-calorie-consumption","status":"publish","type":"post","link":"https:\/\/tradetrovex.com\/index.php\/2024\/06\/05\/ai-to-watch-every-spoonful-you-eat-and-calculate-your-calorie-consumption\/","title":{"rendered":"AI to watch every spoonful you eat and calculate your calorie consumption"},"content":{"rendered":"<div>\n<p>Artificial intelligence (AI) is being developed to watch every spoonful you eat and calculate how many calories you are consuming.<\/p>\n<p>Scientists in Canada are working on the new technology that analyses video footage of you eating to decide the nutritional value of your diet.<\/p>\n<div class=\"sdc-site-outbrain sdc-site-outbrain--AR_6\">    <\/div>\n<p>\u201cThe current [\u2026] food portion estimation algorithms assume that users take images of their meals one or two times,\u201d say researchers from the University of Waterloo in Canada.<\/p>\n<p>\u201c[This] can be inconvenient and fail to capture <strong>food<\/strong> items that are not visible from a top-down perspective, such as ingredients submerged in a stew.\u201d<\/p>\n<p>Instead of looking at a picture of your plate like some current <strong>AI<\/strong> tracking systems, this one studies every spoonful on its way to your mouth, making it much more precise, according to the researchers.<\/p>\n<div class=\"ad ad--teads\">        <\/div>\n<p>It can calculate the volume of food you\u2019re eating with just a 4.4% margin for error.<\/p>\n<p>Although the system doesn\u2019t currently identify the food on your spoon, its trainers are teaching it how to spot what you\u2019re eating. Ultimately, it should be able to recognise a wide range of foods, even those it hasn\u2019t seen before.<\/p>\n<p>\u201cWe\u2019re shifting towards using those large language models like ChatGPT [\u2026] to understand what is in the food or maybe ask a basic question [like] \u2018is this chicken?\u2019,\u201d said Yuhao Chen at the University of Waterloo in Canada to New Scientist.<\/p>\n<p>\u201cA lot of time, especially for people eating at home, the dish may not be a named dish. It may be just whatever is available in the fridge that they\u2019ve mixed together.\u201d<\/p>\n<p>The technology will work with forks and chopsticks as well as spoons.<\/p>\n<p>New diet technologies are hitting the market, aimed at improving the <strong>health<\/strong> of populations with obesity and nutrition problems.<\/p>\n<p>Just last month, the World Health Organisation released its own AI health promoter called SARAH (Smart AI Resource Assistant for Health) to answer users questions about diet and health 24 hours a day.<\/p>\n<p>SARAH is brought to life as a brunette woman who smiles and frowns at you from the computer screen as you ask questions.<\/p>\n<p>When Sky News asked her whether AI could successfully identify calorie intake, she seemed pragmatic.<\/p>\n<p>\u201cIt can be a helpful tool to monitor your food intake and make healthier choices,\u201d it responded.<\/p>\n<p>\u201cHowever, it is important to consider combining it with manual methods for the most precise results.\u201d<\/p>\n<\/p>\n<div>This post appeared first on sky.com<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) is being developed to watch every spoonful you eat and calculate how&hellip;<\/p>\n","protected":false},"author":0,"featured_media":787,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-news"],"_links":{"self":[{"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/posts\/786","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/comments?post=786"}],"version-history":[{"count":0,"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/posts\/786\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/media\/787"}],"wp:attachment":[{"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/media?parent=786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/categories?post=786"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tradetrovex.com\/index.php\/wp-json\/wp\/v2\/tags?post=786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}