{"id":8332,"date":"2019-03-28T10:45:59","date_gmt":"2019-03-28T14:45:59","guid":{"rendered":"http:\/\/www.monsffa.ca\/?p=8332"},"modified":"2019-03-28T10:45:59","modified_gmt":"2019-03-28T14:45:59","slug":"canadian-researchers-who-taught-ai-to-learn-like-humans-win-1m-turing-award","status":"publish","type":"post","link":"https:\/\/www.monsffa.ca\/?p=8332","title":{"rendered":"Canadian researchers who taught AI to learn like humans win $1M Turing Award"},"content":{"rendered":"
Yoshua Bengio, Geoffrey Hinton, Yann LeCun share ‘Nobel of computer science’ for work on deep learning<\/h5>\n
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Emily Chung<\/span> \u00b7 <\/span>CBC News<\/a> \u00b7 <\/span>

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Yoshua Bengio, Geoffrey Hinton and Yann LeCun, left to right, are the winners of this year’s $1 million US Turing Award, the world’s top prize in computer science, the Association for Computing Machinery announced Wednesday. (Universit\u00e9 de Montr\u00e9al\/Google\/Facebook)<\/figcaption><\/figure>\n<\/div>\n<\/div>\n
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Three researchers, two of them Canadian, have won the world’s top award in computer science for developing the ability of computers to learn like humans, by imitating the human brain and how it functions using networks of\u00a0“neurons.”<\/p>\n

That allows computers to acquire new skills by looking at lots of examples and finding and recognizing patterns, as humans do.<\/p>\n

Machine learning\u00a0\u2014 based on “deep learning” and “neural networks” \u2014\u00a0\u00a0has led to the development of artificial intelligence that now powers everyday web and smartphone applications from voice, image and facial recognition to language translation. It’s\u00a0increasingly being used in more complicated tasks like generating art, creating text and diagnosing cancer from images.<\/p>\n

The Turing Award is described by the Association for Computing Machinery, which hands out the annual award, as the “Nobel Prize of Computing” and worth $1 million US. The association announced Wednesday that the 2018 award goes to:<\/p>\n