{"id":434783,"date":"2026-05-19T09:31:20","date_gmt":"2026-05-19T09:31:20","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/434783\/"},"modified":"2026-05-19T09:31:20","modified_gmt":"2026-05-19T09:31:20","slug":"will-chinese-become-the-king-language-for-commanding-ai-on-engineering-tasks","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/434783\/","title":{"rendered":"Will Chinese become the king language for commanding AI on engineering tasks?"},"content":{"rendered":"

A study from Tsinghua University has opened a new front in the global technology race<\/a> by asking a question that may have profound implications for industrial powers.When commanding an artificial intelligence<\/a> (AI) model to, say, design a better aircraft, does it matter whether you speak to it in English or Chinese?<\/p>\n

The answer, according to the research published in China\u2019s top aviation journal Acta Aeronautica et Astronautica Sinica on April 27, is mixed: Chinese may have an intrinsic advantage over English, but not by much \u2013 at least for now.<\/p>\n

Led by Professor Chen Haixin with Tsinghua\u2019s School of Aerospace Engineering, the team created a sophisticated AI \u201cagent\u201d designed to perform a classic engineering task: reducing drag by tweaking the shape of a modern aircraft wing.<\/p>\n

The AI was taught to \u201csee\u201d and \u201creason\u201d. Using a Vision-Language Model (VLM), the AI was shown images of wing shapes and their airflow patterns, combined with a set of engineering rules and design history.<\/p>\n

It then had to propose subtle geometric modifications, such as adding a \u201cbump\u201d here or adjusting a curve there, to make the wing more aerodynamic. The AI learned through a process of trial and error, receiving a \u201creward\u201d every time it successfully reduced drag.<\/p>\n","protected":false},"excerpt":{"rendered":"A study from Tsinghua University has opened a new front in the global technology race by asking a…\n","protected":false},"author":2,"featured_media":434784,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[222538,365,363,364,222537,607,4444,11908,111,139,69,145,33381,3040,222539],"class_list":["post-434783","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-acta-aeronautica-et-astronautica-sinica","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-chen-haixin","tag-china","tag-chinese","tag-english","tag-new-zealand","tag-newzealand","tag-nz","tag-technology","tag-tsinghua-university","tag-us","tag-vision-language-model"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/434783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=434783"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/434783\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/434784"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=434783"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=434783"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=434783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}