{"id":5484,"date":"2017-05-17T20:39:36","date_gmt":"2017-05-17T20:39:36","guid":{"rendered":"https:\/\/www.rsoftsolution.com\/blog\/google-ai-aims-to-make-state-of-the-art-ai-advances-accessible-to-everyone.html"},"modified":"2017-05-17T20:39:36","modified_gmt":"2017-05-17T20:39:36","slug":"google-ai-aims-to-make-state-of-the-art-ai-advances-accessible-to-everyone","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/google-ai-aims-to-make-state-of-the-art-ai-advances-accessible-to-everyone.html","title":{"rendered":"Google.ai aims to make state of the art AI advances accessible to everyone"},"content":{"rendered":"


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On the stage of Google I\/O, CEO\u00a0Sundar Pichai announced Google.ai<\/a>, a new initiative to democratize the benefits of the latest in machine learning research.\u00a0Google.ai will serve as a center of Google\u2019s AI efforts \u2014 including research, tools and applied AI.<\/p>\n

The new site will host research from Google and its Brain Team. It also allows anyone to quickly access fun experiments that highlight the company\u2019s progress in the field. This includes AutoDraw, that makes it possible for unskilled artists to put their ideas on paper, Duet that can play along with piano players and Quick, Draw!, a game where an AI tries to guess your drawings. A selection of videos and posts about Google\u2019s AI-first efforts are also co-located.<\/p>\n

Google\u2019s Tensor Flow has played a pivotal role in making machine learning accessible to a greater number of developers. But every day new research comes from universities and private research labs and Google wants to help make that\u00a0accessible too.<\/p>\n

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Advances in ML can also be applied to healthcare, improving detection algorithms and naturally complementing how pathologists work. #io17<\/a> pic.twitter.com\/9OANnAv9Wq<\/a><\/p>\n

\u2014 Google (@Google) May 17, 2017<\/a><\/p>\n<\/blockquote>\n

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Pichai underscored the point that building machine learning models today is very time consuming and often expensive because of the scarcity of engineers with relevant skill-sets.\u00a0As Google Cloud and Tensor Flow become more ubiquitous, engineers will be able to do more with less.<\/p>\n

Pichai alluded to AutoML and a future where neural nets can create new neural nets on their own. This is a\u00a0natural next step as researchers gain greater control of Generative Adversarial Networks (GANs) and reinforcement learning gets applied in new and more challenging contexts.<\/p>\n

<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/_L7UzdPXzBI\/<\/p>","protected":false},"excerpt":{"rendered":"

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