{"id":1148,"date":"2017-12-27T19:36:56","date_gmt":"2017-12-27T19:36:56","guid":{"rendered":"https:\/\/blogs.mathworks.com\/headlines\/?p=1148"},"modified":"2020-02-26T15:49:40","modified_gmt":"2020-02-26T15:49:40","slug":"top-10-behind-the-headlines-stories-of-2017","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/headlines\/2017\/12\/27\/top-10-behind-the-headlines-stories-of-2017\/","title":{"rendered":"Top 10 \u201cBehind the Headlines\u201d stories of 2017"},"content":{"rendered":"<p>Science and technology played a major role in many of 2017\u2019s biggest stories. The Behind the Headlines blog covered many of these by explaining how MATLAB and Simulink were behind the scenes, helping engineers, scientists, and researchers innovate around the world. Here are our top ten stories of the year, based which posts our MATLAB users and STEM audiences read the most.<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/09\/21\/apple-renews-interest-in-biometrics-heres-an-algorithm-for-facial-recognition-and-more\/\" target=\"_blank\" rel=\"noopener noreferrer\">10. Apple renews interest in biometrics: Here\u2019s an algorithm for facial recognition and more<\/a><\/h2>\n<p>Facial recognition algorithms start our list of top ten posts for the year. It\u2019s no surprise when you consider some of the high-profile data breaches that have come to light during 2017, from the stolen data of all 3 <em>billion<\/em> Yahoo users to the Equifax breach.<\/p>\n<p>&nbsp;<\/p>\n<p><div id=\"attachment_2495\" style=\"width: 502px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/12\/27\/top-10-behind-the-headlines-stories-of-2017\/pst-edge-detection\/\" rel=\"attachment wp-att-2495\"><img aria-describedby=\"caption-attachment-2495\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-2495 \" src=\"https:\/\/blogs.mathworks.com\/headlines\/files\/2017\/12\/pst-edge-detection.png\" alt=\"\" width=\"492\" height=\"330\" \/><\/a><p id=\"caption-attachment-2495\" class=\"wp-caption-text\">PST edge detection on lightbulb image. Image Credit: Bahram Jalali<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/03\/24\/maker-hits-a-bullseye-with-a-cool-robotic-dartboard\/\" target=\"_blank\" rel=\"noopener noreferrer\">9. Maker hits a bullseye with a cool robotic dartboard<\/a><\/h2>\n<p>The post in the number nine spot was a fantastically fun maker project. What do you get when a former NASA engineer combines motion tracking infrared cameras, 6 stepper motors, fishing line, and a dartboard? A dartboard that moves to intercept the dart and gives you a bullseye every time.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 406px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/i.kinja-img.com\/gawker-media\/image\/upload\/s--d8Wl44RQ--\/c_scale,fl_progressive,q_80,w_800\/uq9dyyy8gxbkzqjsaz69.gif\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/i.kinja-img.com\/gawker-media\/image\/upload\/s--d8Wl44RQ--\/c_scale,fl_progressive,q_80,w_800\/uq9dyyy8gxbkzqjsaz69.gif\" width=\"396\" height=\"200\" \/><\/a><p class=\"wp-caption-text\">Image credit: YouTUBE\/MarkRober<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/03\/14\/matlab-revives-the-beatles-only-live-album\/\" target=\"_blank\" rel=\"noopener noreferrer\">8. MATLAB helps revive The Beatles only live album<\/a><\/h2>\n<p>The eighth most popular post of 2017 describes how Abbey Road Studios used audio processing techniques to filter the fans screams out of the one and only live concert recording by The Beatles. The Live at the Hollywood Bowl album\u00a0and featured songs from their performances at the Hollywood Bowl in 1964 and 1965.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 285px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/media.npr.org\/assets\/img\/2016\/08\/24\/gettyimages-578063406_custom-a851168a8041619ecd2f95dfe43caa9549b67df1-s800-c85.jpg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/media.npr.org\/assets\/img\/2016\/08\/24\/gettyimages-578063406_custom-a851168a8041619ecd2f95dfe43caa9549b67df1-s800-c85.jpg\" width=\"275\" height=\"268\" \/><\/a><p class=\"wp-caption-text\">Image credit: This photo was published in the Aug. 24, 1964 Los Angeles Times. John Malmin\/LA Times via Getty Images.<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/09\/07\/a-unique-robot-takes-home-big-prize-in-the-amazon-robotics-challenge\/\" target=\"_blank\" rel=\"noopener noreferrer\">7. A unique robot takes home big prize in the Amazon Robotics Challenge<\/a><\/h2>\n<p>This post detailed how the Australian Centre for Robotic Vision took home the championship, and $80,000 in prize money, from the 2017 Amazon Robotics Challenge. Their robot, a Cartesian coordinate robot aptly named Cartman, used computer vision, image processing, and deep learning to identify the objects it needed to \u201cpick and place\u201d in the packing contest.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 386px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/spectrum.ieee.org\/image\/MjkzNTA3Ng.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/spectrum.ieee.org\/image\/MjkzNTA3Ng.jpeg\" width=\"376\" height=\"250\" \/><\/a><p class=\"wp-caption-text\">Peter Corke, director of ACRV, and team with Cartman. Image Credit: Anthony Weate, QUT.<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/07\/25\/nasas-new-technology-paralyzes-drones-that-enter-restricted-areas\/\" target=\"_blank\" rel=\"noopener noreferrer\">6. NASA\u2019s new technology paralyzes drones that enter restricted areas<\/a><\/h2>\n<p>NASA\u2019s drone defender system called Safeguard garnered the number six spot on our 2017 list. Safeguard disables a drone if it fails to respond to a warning and enters a designated no-fly zone.<\/p>\n<p><iframe loading=\"lazy\" title=\"SAFEGUARD: Reliable safety net technology for unmanned aircraft systems\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/ljHfuC-GiEs?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h6 style=\"text-align: center;\">Image Credit: NASA<\/h6>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/03\/28\/using-data-analytics-to-reduce-food-waste\/\" target=\"_blank\" rel=\"noopener noreferrer\">5. Using data analytics to reduce food waste<\/a><\/h2>\n<p>The fifth most popular post for 2017 looks at how one major retailer, Tesco, is using a\u00a0data-driven approach\u00a0to improve operations and reduce food waste.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 335px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/makanaka.files.wordpress.com\/2013\/01\/fao-food-waste-campaign-201301.jpg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/makanaka.files.wordpress.com\/2013\/01\/fao-food-waste-campaign-201301.jpg\" width=\"325\" height=\"243\" \/><\/a><p class=\"wp-caption-text\">World Food Wastage. Image credit: Infographics by FAO.<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/01\/08\/using-machine-learning-to-build-a-better-battery\/\" target=\"_blank\" rel=\"noopener noreferrer\">4. Using machine learning to build a better battery<\/a><\/h2>\n<p>In many ways, 2016 was the year of the exploding battery. So, at the beginning of 2017, we looked at how machine learning was being used to design a better battery.<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" title=\"Building a better battery with machine learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/j4IBN9oi9_E?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/08\/01\/researchers-use-image-processing-to-study-usain-bolts-stride-does-scoliosis-make-him-faster\/\" target=\"_blank\" rel=\"noopener noreferrer\">3. Researchers use image processing to study Usain Bolt\u2019s stride. Does scoliosis make him faster?<\/a><\/h2>\n<p>Like number seven above, the third most popular post for 2017 also used image processing techniques. This time, they were used to analyze the stride of the world-class sprinter, Usain Bolt.<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" title=\"Usain Bolt: Synchronized Force and Motion\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/TGh7SqVI_w8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/03\/08\/this-robot-learns-by-reading-your-mind\/\" target=\"_blank\" rel=\"noopener noreferrer\">2. This robot learns by reading your mind<\/a><\/h2>\n<p>The second most popular post for 2017 originated from a collaboration between MIT\u2019s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Boston University. The team designed a system that combines neuroscience and machine learning to create a mind-reading robot. Seriously. This robot can read your mind.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 409px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/i.ytimg.com\/vi\/Zd9WhJPa2Ok\/maxresdefault.jpg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/i.ytimg.com\/vi\/Zd9WhJPa2Ok\/maxresdefault.jpg\" width=\"399\" height=\"224\" \/><\/a><p class=\"wp-caption-text\">Image credit: MIT CSAIL.<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/06\/01\/data-visualization-shows-the-global-temperature-change-since-1850\/\" target=\"_blank\" rel=\"noopener noreferrer\">1. Data Visualization shows the global temperature change since 1850<\/a><\/h2>\n<p>Climate change dominated much of the news for 2017, with renewed arguments on both the effects of climate change and the politics of environmental protection.<\/p>\n<p>Not surprising, the most read post of 2017 focused on climate change. The post showed how data scientists are creating new ways to show how the global temperature has changed over the past century and a half.<\/p>\n<p>&nbsp;<\/p>\n<p><div style=\"width: 395px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/www.climate-lab-book.ac.uk\/files\/2016\/06\/spiral_2017_large.gif\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"\" src=\"https:\/\/www.climate-lab-book.ac.uk\/files\/2016\/06\/spiral_2017_large.gif\" width=\"385\" height=\"410\" \/><\/a><p class=\"wp-caption-text\">Image credit: Dr. Ed Hawkins, @ed_hawkins, from The Climate Lab Book.<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><!-- Featured Image From URL plugin --> <img decoding=\"async\" src=\"https:\/\/www.climate-lab-book.ac.uk\/files\/2016\/06\/spiral_2017_large.gif\" alt=\"\" style=\"\"><\/div>\n<p>Science and technology played a major role in many of 2017\u2019s biggest stories. The Behind the Headlines blog covered many of these by explaining how MATLAB and Simulink were behind the scenes, helping&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/headlines\/2017\/12\/27\/top-10-behind-the-headlines-stories-of-2017\/\">read more >><\/a><\/p>\n","protected":false},"author":138,"featured_media":-1,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/posts\/1148"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/users\/138"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/comments?post=1148"}],"version-history":[{"count":11,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/posts\/1148\/revisions"}],"predecessor-version":[{"id":2499,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/posts\/1148\/revisions\/2499"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/media?parent=1148"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/categories?post=1148"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/headlines\/wp-json\/wp\/v2\/tags?post=1148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}