{"id":827,"date":"2019-07-15T13:48:56","date_gmt":"2019-07-15T13:48:56","guid":{"rendered":"http:\/\/silknow.eu\/?page_id=827"},"modified":"2019-07-15T13:51:10","modified_gmt":"2019-07-15T13:51:10","slug":"ict-sector","status":"publish","type":"page","link":"https:\/\/silknow.eu\/index.php\/target-audiences\/ict-sector\/","title":{"rendered":"ICT Sector"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"223\" height=\"61\" src=\"http:\/\/silknow.eu\/wp-content\/uploads\/SILKNOW-graphic07.jpg\" alt=\"\" class=\"wp-image-828\"\/><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li>The project will implement advanced text analytics in order to retrieve automatically data given a high-level concept.<\/li><li> It will provide better knowledge of spatio-temporal data models that can be applied to many different industries, such as logistics or urban planning.<\/li><li> New deep learning techniques, based on Convolutional Neural Networks, will be applied in order to automatically classify insufficiently tagged data.<\/li><li> Ancient weaving techniques will be cloned, building mathematical models, providing interactive visualizations and 3D-printed simulations.<\/li><\/ul>\n\n\n\n<p style=\"text-align:center\">Our innovative ICT tools will not only allow to study and preserve European cultural heritage, but they will open new research in other fields.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/silknow.eu\/wp-content\/uploads\/VL_2web-1024x571.jpg\" alt=\"\" class=\"wp-image-829\" width=\"388\" height=\"216\" srcset=\"https:\/\/silknow.eu\/wp-content\/uploads\/VL_2web-1024x571.jpg 1024w, https:\/\/silknow.eu\/wp-content\/uploads\/VL_2web-300x167.jpg 300w, https:\/\/silknow.eu\/wp-content\/uploads\/VL_2web-768x428.jpg 768w, https:\/\/silknow.eu\/wp-content\/uploads\/VL_2web.jpg 1382w\" sizes=\"auto, (max-width: 388px) 100vw, 388px\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The project will implement advanced text analytics in order to retrieve automatically data given a high-level concept. It will provide better knowledge of spatio-temporal data models that can be applied to many different industries, such as logistics or urban planning. New deep learning techniques, based on Convolutional Neural Networks, will be applied in order to&hellip;<\/p>\n<p><a class=\"more-link\" href=\"https:\/\/silknow.eu\/index.php\/target-audiences\/ict-sector\/\" title=\"Continue reading &lsquo;ICT Sector&rsquo;\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":793,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-827","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/pages\/827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/comments?post=827"}],"version-history":[{"count":3,"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/pages\/827\/revisions"}],"predecessor-version":[{"id":835,"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/pages\/827\/revisions\/835"}],"up":[{"embeddable":true,"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/pages\/793"}],"wp:attachment":[{"href":"https:\/\/silknow.eu\/index.php\/wp-json\/wp\/v2\/media?parent=827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}