{"id":1917,"date":"2019-03-24T06:32:03","date_gmt":"2019-03-24T06:32:03","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/24\/ai-and-patents-trends-to-watch-from-the-wipo-technology-trends-report\/"},"modified":"2019-03-24T06:32:03","modified_gmt":"2019-03-24T06:32:03","slug":"ai-and-patents-trends-to-watch-from-the-wipo-technology-trends-report","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/24\/ai-and-patents-trends-to-watch-from-the-wipo-technology-trends-report\/","title":{"rendered":"AI and patents &#8211; trends to watch \u00a0from the WIPO technology trends report"},"content":{"rendered":"<p>Author: ajit jaokar<\/p>\n<div>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/1569974798?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/1569974798?profile=RESIZE_710x\" class=\"align-full\"><\/a><\/p>\n<p>AI and patents &#8211; trends to watch \u00a0from the WIPO technology trends report<\/p>\n<p><a href=\"https:\/\/www.wipo.int\/edocs\/pubdocs\/en\/wipo_pub_1055.pdf\">WIPO Technology Trends report 2019<\/a> \u00a0came as a surprise to me. We in AI are not used to thinking about patents so much because tools \/ platforms are mostly Open sourced.<\/p>\n<p>\u00a0<\/p>\n<p>Here are the key takeaways from this report i<\/p>\n<p>\u00a0<\/p>\n<ul>\n<li>The ratio of scientific papers to inventions has decreased from 8:1 in 2010 to 3:1 in 2016 \u2013 <strong>indicative of a shift from theoretical research to the use of AI technologies<\/strong> in commercial products and services.<\/li>\n<\/ul>\n<ul>\n<li>Among AI functional applications, <strong>computer vision<\/strong>, which includes image recognition, is the most popular. Computer vision is mentioned in 49 percent of all AI-related patents (167,038 patent documents), growing annually by an average of 24 percent (21,011 patent applications filed in 2016).\u00a0\u00a0<\/li>\n<\/ul>\n<ul>\n<li>functional applications with the highest growth rates in patent filings in the period 2013 to 2016 were AI for <strong>robotics and control methods,<\/strong> which both grew on average by 55 percent a year.\u00a0\u00a0<\/li>\n<\/ul>\n<ul>\n<li>Many AI patents include inventions that can be applied in different industries \u2013 <strong>telecommunications, transportation , medical sciences<\/strong> , personal devices, computing and human\u2013computer interaction (HCI) featured highly in the related industries.\u00a0\u00a0<\/li>\n<\/ul>\n<ul>\n<li>Other sectors and sub-categories within sectors with notable growth in patent filings include: <strong>smart cities (47 percent annual growth); agriculture (32 percent); computing in government (30 percent); and banking and finance (28 percent).\u00a0<\/strong><\/li>\n<\/ul>\n<ul>\n<li>Companies, in particular those from J<strong>apan, the United States of America<\/strong> (U.S.) and China, dominate patenting activity<\/li>\n<\/ul>\n<ul>\n<li><strong>IBM and Microsoft<\/strong> are leaders in AI patenting across different AI-related areas<\/li>\n<\/ul>\n<ul>\n<li><strong>Toshiba , Samsung and NEC<\/strong> are also in the top 5<\/li>\n<\/ul>\n<ul>\n<li>The <strong>State Grid Corporation of China<\/strong> has leaped into the top 20, increasing its patent filings by an average of 70 percent annually from 2013 to 2016, particularly in the machine learning techniques of bio-inspired approaches, which draw from observations of nature, and support vector machines, a form of supervised learning.<\/li>\n<\/ul>\n<ul>\n<li>In certain techniques and fields, the highest numbers of patent applications originate from companies with a high degree of specialization and expertise in that field. Examples include Baidu, which ranks highly for deep learning, <strong>Toyota and Bosch, which are prominent in transportation, and Siemens, Philips and Samsung in life and medical sciences.<\/strong><\/li>\n<\/ul>\n<ul>\n<li><strong>Universities<\/strong> contribute significantly to AI research in specific fields, with Chinese universities dominating<\/li>\n<\/ul>\n<ul>\n<li><strong>Chinese organizations<\/strong> make up 17 of the top 20 academic players in AI patenting as well as 10 of the top 20 in AI-related scientific publications.<\/li>\n<\/ul>\n<ul>\n<li>Within computer vision \u2013 the top functional application \u2013 <strong>biometrics<\/strong> has seen an average annual growth rate of 31 percent and scene understanding one of 28 percent.<\/li>\n<\/ul>\n<ul>\n<li><strong>Within natural language processing, semantics<\/strong> has grown by 33 percent and sentiment analysis by 28 (though it still only accounts for 1 percent of natural language processing applications).<\/li>\n<\/ul>\n<ul>\n<li>Within <strong>speech processing, speech-to-speech<\/strong> has grown by 15 percent, and speech<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>To conclude, patents and AI are increasingly becoming an interesting space<\/p>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:812103\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: ajit jaokar AI and patents &#8211; trends to watch \u00a0from the WIPO technology trends report WIPO Technology Trends report 2019 \u00a0came as a surprise [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/03\/24\/ai-and-patents-trends-to-watch-from-the-wipo-technology-trends-report\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":465,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1917"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=1917"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1917\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/456"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1917"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1917"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1917"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}