{"id":7485,"date":"2019-01-20T08:16:55","date_gmt":"2019-01-20T16:16:55","guid":{"rendered":"http:\/\/jnack.com\/blog\/?p=7485"},"modified":"2019-01-20T13:54:17","modified_gmt":"2019-01-20T21:54:17","slug":"giant-artificial-flowers-react-to-your-emotions","status":"publish","type":"post","link":"http:\/\/jnack.com\/blog\/2019\/01\/20\/giant-artificial-flowers-react-to-your-emotions\/","title":{"rendered":"Giant artificial flowers at Google react to your emotions"},"content":{"rendered":"<p>Our sister team makes the machine learning-powered library driving this large installation now populating our lobby. It&#8217;s to enable this sort of thing that we released <a href=\"http:\/\/jnack.com\/blog\/2019\/01\/16\/accelerate-machine-learning-through-new-tensorflow-lite-gpu\/\">ML acceleration tech<\/a> the other day:<\/p>\n<blockquote><p>The flowers are built using Raspberry Pi running Android Things, our Android platform for everyday devices like home speakers, smart screens and wearables. An \u201calpha flower\u201d has a camera in it and uses an embedded TensorFlow neural net to analyze which emotion it sees, and the surrounding flowers change colors based on the image the camera captures of your face. All processing is done locally, so no data is saved or sent to any servers.<\/p><\/blockquote>\n<p>Better still, <a href=\"https:\/\/www.hackster.io\/thingsexperiments\/expression-flower-82210b\">the code has been open-sourced<\/a>.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" title=\"NewImage.png\" src=\"http:\/\/jnack.com\/blog\/wp-content\/uploads\/2018\/09\/NewImage-25.png\" alt=\"NewImage\" width=\"600\" height=\"431\" border=\"0\"><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" title=\"NewImage.png\" src=\"http:\/\/jnack.com\/blog\/wp-content\/uploads\/2018\/09\/NewImage-26.png\" alt=\"NewImage\" width=\"600\" height=\"450\" border=\"0\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our sister team makes the machine learning-powered library driving this large installation now populating our lobby. It&#8217;s to enable this sort of thing that we released ML acceleration tech the other day: The flowers are built using Raspberry Pi running Android Things, our Android platform for everyday devices like home speakers, smart screens and wearables. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/7485"}],"collection":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/comments?post=7485"}],"version-history":[{"count":7,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/7485\/revisions"}],"predecessor-version":[{"id":8105,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/posts\/7485\/revisions\/8105"}],"wp:attachment":[{"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/media?parent=7485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/categories?post=7485"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/jnack.com\/blog\/wp-json\/wp\/v2\/tags?post=7485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}