{"id":12444,"date":"2022-12-02T11:06:55","date_gmt":"2022-12-02T10:06:55","guid":{"rendered":"https:\/\/www.pi.infn.it\/?p=12444"},"modified":"2022-12-02T11:11:39","modified_gmt":"2022-12-02T10:11:39","slug":"intelligence-for-digital-restoration-of-cultural-heritage-aires-ch-di-alessandro-bombini-infn-firenze","status":"publish","type":"post","link":"https:\/\/www.pi.infn.it\/?p=12444","title":{"rendered":"Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) di Alessandro Bombini (INFN \u2013 Firenze)"},"content":{"rendered":"\n<p><strong>Abstract:<\/strong><\/p>\n<p style=\"text-align: justify\">Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) is a project focused on a creation of a cloud-native web app for the digital restoration of pictorial artworks through Computer Vision technologies applied to nuclear imaging raw data, such as X-Ray Fluorescence (XRF). In this talk, after a really brief introduction on nuclear imaging technologies, I will show that the task of associating an RGB colour image to an XRF imaging raw data is feasible by means of a multidimensional neural network, by discussing the Deep Neural Network models pipeline (training dataset composition, models&#8217; architecture definition, training process, hyperparameter optimisation, validation); I will close with a brief discussion on how the trained neural network is employed in the cloud-native web application for XRF raw data real-time analysis.<\/p>\n<div>\u00a0<\/div>\n<div>Il seminario si terr\u00e0 in presenza nella sala riunioni 250 e via zoom<b>\u00a0<\/b>al seguente indirizzo:\u00a0<\/div>\n<div><a id=\"LPlnk34841\" href=\"https:\/\/infn-it.zoom.us\/j\/84261721878?pwd=MDZNaGdBUlcvUUJXa2phSHZVZk5sdz09\" target=\"_blank\" rel=\"noopener noreferrer\"><\/a><a id=\"LPlnk34841\" href=\"https:\/\/infn-it.zoom.us\/j\/84261721878?pwd=MDZNaGdBUlcvUUJXa2phSHZVZk5sdz09\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/infn-it.zoom.us\/j\/84261721878?pwd=MDZNaGdBUlcvUUJXa2phSHZVZk5sdz09<\/a><\/div>\n<div>\n<p>\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) is a project focused on a creation of a cloud-native web app for the digital restoration of pictorial artworks through Computer Vision technologies applied to nuclear imaging raw data, such as X-Ray Fluorescence (XRF). In this talk, after a really brief introduction on nuclear imaging [&hellip;]<\/p>\n","protected":false},"author":26,"featured_media":12445,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[8],"tags":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-13 23:08:50","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"_links":{"self":[{"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/posts\/12444"}],"collection":[{"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12444"}],"version-history":[{"count":3,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/posts\/12444\/revisions"}],"predecessor-version":[{"id":12449,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/posts\/12444\/revisions\/12449"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=\/wp\/v2\/media\/12445"}],"wp:attachment":[{"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12444"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12444"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pi.infn.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}