{"id":12394,"date":"2022-01-05T08:45:35","date_gmt":"2022-01-05T13:45:35","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12394"},"modified":"2022-01-05T08:45:35","modified_gmt":"2022-01-05T13:45:35","slug":"us-china-tech-war-beijing-funded-ai-researchers-surpass-google-and-openai-with-new-language-processing-model","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/us-china-tech-war-beijing-funded-ai-researchers-surpass-google-and-openai-with-new-language-processing-model\/12394\/","title":{"rendered":"US-China Tech War: Beijing-Funded AI Researchers Surpass Google and OpenAI with New Language Processing Model"},"content":{"rendered":"Originally published in South China Morning Post, June 2, 2021. The WuDao 2.0 natural language processing model had 1.75 trillion parameters, topping the 1.6 trillion that Google unveiled in a similar model in January. China has been pouring money into AI to try to close the gap with the US, which maintains an edge because of its dominance in semiconductors. A government-funded\u00a0artificial intelligence (AI)\u00a0institute in Beijing unveiled on Monday the world\u2019s most sophisticated natural language processing (NLP) model, surpassing those from Google and OpenAI, as China seeks to increase its technological competitiveness on the world stage. The WuDao <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/us-china-tech-war-beijing-funded-ai-researchers-surpass-google-and-openai-with-new-language-processing-model\/12394\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in South China Morning Post, June 2, 2021. The WuDao 2.0 natural language processing model had 1.75 trillion parameters, topping the 1.6 trillion that Google unveiled in a similar model in January. China has been pouring money into AI to try to close the gap with the US, which maintains an edge because [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[1212,368,243,8],"class_list":["post-12394","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai-research","tag-artificial-intelligence","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12394"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12394\/revisions"}],"predecessor-version":[{"id":12396,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12394\/revisions\/12396"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}