{"id":207,"date":"2015-10-30T10:07:11","date_gmt":"2015-10-30T08:07:11","guid":{"rendered":"http:\/\/aireligion.org\/?p=207"},"modified":"2015-11-07T18:34:05","modified_gmt":"2015-11-07T16:34:05","slug":"google-says-its-rethinking-everything-around-machine-learning-2","status":"publish","type":"post","link":"https:\/\/aireligion.org\/?p=207","title":{"rendered":"Google says it’s ‘rethinking everything’ around machine learning"},"content":{"rendered":"
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It\u2019s already sorting your email and translating your voice searches, and machine learning will play a bigger role in Google\u2019s services moving forward.Google\u2019s parent company, Alphabet, reported its quarterly financial results<\/a> Thursday, with revenue and profit both up from a year earlier. New Google CEO Sundar Pichai took part in his first earnings call,\u00a0and in between discussing the numbers he revealed how important Google thinks machine learning is to its future.<\/p>\n

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\u201dMachine learning is a core, transformative way by which we\u2019re rethinking everything we\u2019re doing,\u201d he said.<\/p>\n

He was putting the spotlight on a branch of artificial intelligence that\u2019s getting more attention lately. It involves using computer algorithms that can \u201clearn\u201d over time. A common example is its use in email, where machine learning figures out from watching users\u2019 behavior which emails are spam and which should be let through.<\/p>\n

At Google, it\u2019s long been used for voice search and language translation<\/a>, and Pichai said the technology has progressed quickly, particularly in the past two years.<\/p>\n

\u201dOur investments in machine learning and artificial intelligence are a priority for us,\u201d he said. Microsoft, IBM and Facebook are investing in similar areas, and machine learning is showing up in apps for business<\/a>.<\/p>\n

\u201dWe\u2019re thoughtfully applying it across all our products, be it search, ads, YouTube, or Play,\u201d Pichai said. \u201cWe\u2019re in the early days, but you\u2019ll see us in a systematic way think about how we can apply machine learning to all these areas.\u201d<\/p>\n

He didn\u2019t give examples, but it\u2019s not hard to imagine where it might turn up. He mentioned machine learning in the context of mobile, for example, where machine learning could determine if a user is at work, at home or in their car, so that their phone can deliver information accordingly.<\/p>\n