{"id":1819,"date":"2017-02-14T22:38:05","date_gmt":"2017-02-14T19:38:05","guid":{"rendered":"http:\/\/artificialbrain.xyz\/?p=1819"},"modified":"2017-02-14T23:03:11","modified_gmt":"2017-02-14T20:03:11","slug":"machine-learning-solving-problems-big-small-and-prickly","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/machine-learning-solving-problems-big-small-and-prickly\/","title":{"rendered":"Machine Learning: Solving Problems Big, Small, and Prickly"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-family: 'Open Sans';\">From helping farmers in Japan sort cucumbers to helping doctors in India diagnose eye disease, <strong>machine learning<\/strong> is changing the way people &#8212; inside and outside of Google &#8212; use code to solve problems and improve lives. <\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'Open Sans';\">Google engineers and researchers : Maya Gupta, Jeff Dean, Jay Yagnik, Francoise Beaufays, John Giannandrea, Fernando Pereira, Dana Movshovitz-Attias, Rajat Monga, Lily Peng<\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/_rdINNHLYaQ\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Maya Gupta<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;As a kid I was really inspired by the Explorers I grew up in Seattle and Lewis and Clark were kind of heroes locally\u00a0<\/span><span style=\"font-family: 'Open Sans';\">and I wanted to be an explorer when I grew up. As an electrical engineer I would always look for new things that we can\u00a0<\/span><span style=\"font-family: 'Open Sans';\">do that just whenever possible and <strong>machine learning<\/strong> and research is an exploration it feels like an intellectual exploration.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;With the evitable lot more data and a lot more computing power r<\/span><span style=\"font-family: 'Open Sans';\">eally can think bigger and sort of changed the game about what kind of models we can envision.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'Open Sans';\">&#8220;So <strong>machine learning<\/strong> is all about learning from examples.&#8221;<\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;A little to a bunch of these examples in the <strong>machine learning<\/strong> algorithm maybe millions, maybe billions, maybe even trillions, to identify the patterns and generalize from there.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;You realize just how amazing humans are, just how amazing your four-year-old is who can recognize faces.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;We&#8217;re thinking thoughts and doing things that no man has ever done in sort of setting forth and setting foot in really new intellectual territory here.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-1820 size-full\" src=\"http:\/\/artificialbrain.xyz\/wp-content\/uploads\/2017\/02\/googles-new-logo-5078286822539264.3-hp2x.gif\" alt=\"googles-new-logo-5078286822539264-3-hp2x\" width=\"881\" height=\"400\" \/><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Jeff Dean<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;We have definitely seen a big uptake in the last five years in what machines are able to do compared to say the previous decade or two.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;The real world is actually very messy. Hard logical rules are not the way to solve real-world problems.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;Rather than writing five thousand lines of code we instead have the Machine learn from observations about the world.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;In the task of image recognition we&#8217;ve been able to train models would take the pixels of an image and from those pixels learn high level features.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;Now no matter what the noise and the environment, our speech recognition systems understand what you&#8217;re saying that can separate out one speaker from another.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;That&#8217;s a promising direction for developing systems that can really navigate the mass of the real world. We<\/span><span style=\"font-family: 'Open Sans';\">\u00a0wanted to make this an open source project so that\u00a0<\/span><span style=\"font-family: 'Open Sans';\">everyone outside of Google could use the same system we&#8217;re using inside Google.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;An elderly couple in Japan who ran a cucumber farm and one of\u00a0<\/span><span style=\"font-family: 'Open Sans';\">the big task is to sort cucumbers into like prickly ones, less prickly ones, great ones, curved ones. It&#8217;s actually a complicated tasks. So the\u00a0<\/span><span style=\"font-family: 'Open Sans';\">wife would spend many hours a day sort of cucumbers. The son picked up a computer vision model and was able to build a system to categorize the cucumbers and sort them automatically. All the time wasted according cucumbers is just going to be used in much better ways.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;The more you see <strong>machine learning<\/strong> and the kinds of things that can do, the more you see opportunity for it to improve people&#8217;s lives.&#8221;<\/span><\/em><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/4HCE1P-m1l8\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;We could use a computer vision model for everyone who is visually\u00a0<\/span><span style=\"font-family: 'Open Sans';\">impaired.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;If you&#8217;d asked me a few years ago if a computer would be able to do this anytime soon I would have said I don&#8217;t really think so.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;The promise of Artificial Intelligence and <strong>machine learning<\/strong> is that we can actually produce solutions to previously unsolved problems that will really help people.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Jay Yagnik<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;It starts to learn that if you see a cake and you see a kid it&#8217;s\u00a0<\/span><span style=\"font-family: 'Open Sans';\">maybe a birthday party. If you see a cake and lots of kids it&#8217;s very likely about the party. That&#8217;s essentially teaching the machines to do the perception that we humans are so natural and so good at.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;There are lots of people who have made very very creative uses of it without knowing a single bit of <strong>machine learning.<\/strong> They have the ideas they don&#8217;t need to do the heavy lifting that we&#8217;ve\u00a0<\/span><span style=\"font-family: 'Open Sans';\">already done.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;We can use <strong>machine learning<\/strong> to sail power and significance skills\u00a0<\/span><span style=\"font-family: 'Open Sans';\">even track the spread of diseases and epidemics.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;It&#8217;s very very empowering to imagine what&#8217;s going to come.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Francoise Beaufays<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;<strong>Machine learning<\/strong> has really been the beginning of a bigger revolution in the field of speech recognition.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;We could make speech recognizer for everyone in the planet and\u00a0<\/span><span style=\"font-family: 'Open Sans';\">drastically improve the experience of millions and billions of people.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-1825 size-full aligncenter\" src=\"http:\/\/artificialbrain.xyz\/wp-content\/uploads\/2017\/02\/John-Giannandrea.jpg\" alt=\"john-giannandrea\" width=\"593\" height=\"290\" srcset=\"https:\/\/www.newworldai.com\/wp-content\/uploads\/2017\/02\/John-Giannandrea.jpg 593w, https:\/\/www.newworldai.com\/wp-content\/uploads\/2017\/02\/John-Giannandrea-450x220.jpg 450w\" sizes=\"(max-width: 593px) 100vw, 593px\" \/><\/p>\n<p style=\"text-align: justify;\"><strong><span style=\"font-family: 'Open Sans'; color: #800080;\">John Giannandrea<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;To teach speech recognition how to interact with a noisy room, we use real-world sounds and we mix it into the examples that we\u00a0<\/span><span style=\"font-family: 'Open Sans';\">already have.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;The assistant product that we&#8217;re building a google uses the best of\u00a0<\/span><span style=\"font-family: 'Open Sans';\">our <strong>machine learning<\/strong> techniques in speech recognition, image understanding, natural language understanding.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;I don&#8217;t see any area of science or even a human endeavor to learn systems can help with.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Fernando Pereira<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;<strong>Machine learning<\/strong> we have now an algorithm that learns out to\u00a0<\/span><span style=\"font-family: 'Open Sans';\">simulate a human linguist.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Dana Movshovitz-Attias<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;Lot of a language that we see today it&#8217;s very informal,\u00a0<\/span><span style=\"font-family: 'Open Sans';\">interspersed with emojis and stickers. Now Google we&#8217;re getting to the point where you can have a much more natural conversation.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Rajat Monga<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;I saw cool example where somebody used to have a cat going around the house all the time so they train the model to identify whenever the cat was there and they were turn the sprinklers on.&#8221;<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #800080;\"><strong><span style=\"font-family: 'Open Sans';\">Lily Peng<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: 'Open Sans';\">&#8220;387 million people with diabetes are at risk for diabetic retinopathy. It causes blindness. The way that you can find signs of diabetic retinopathy is by taking pictures of the back of the eye. But there&#8217;s just simply not enough doctors and it takes hours for an interpretation. So we trained an algorithm that can read the images right then and there. The algorithm can help the doctors get more people screened for the disease.&#8221;<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From helping farmers in Japan sort cucumbers to helping doctors in India diagnose eye disease, machine learning is changing the way people &#8212; inside<\/p>\n","protected":false},"author":2,"featured_media":1821,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[337,336,334,333,240,335,339,332,338],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.2.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning: Solving Problems Big, Small, and Prickly - New World : Artificial Intelligence<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.newworldai.com\/machine-learning-solving-problems-big-small-and-prickly\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning: Solving Problems Big, Small, and Prickly - New World : Artificial Intelligence\" \/>\n<meta property=\"og:description\" content=\"From helping farmers in Japan sort cucumbers to helping doctors in India diagnose eye disease, machine learning is changing the way people &#8212; 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