{"id":181,"date":"2020-05-07T11:19:01","date_gmt":"2020-05-07T09:19:01","guid":{"rendered":"https:\/\/nr.no\/?post_type=bc_area&#038;p=181"},"modified":"2025-09-23T15:27:27","modified_gmt":"2025-09-23T13:27:27","slug":"machine-learning","status":"publish","type":"bc_area","link":"https:\/\/nr.no\/en\/areas\/statistical-modeling-machine-learning-and-artificial-intelligence-ai\/machine-learning\/","title":{"rendered":"Machine learning"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"has-sizing-large\">Machine learning is one of the main ingredients in artificial intelligence, which includes mathematical \/ statistical modeling and informatics.<\/p>\n\n\n\n<p class=\"has-sizing-medium\">Machine learning consists of algorithms that enable computers to automatically find patterns from small or large amounts of data in an intelligent way. The goal of machine learning is to train algorithms to predict or make decisions without being explicitly programmed for it.<\/p>\n\n\n\n<p class=\"has-sizing-medium\">Decision trees are an example of a simple and classic machine learning technique. Deep learning, or deep neural networks, is an advanced machine learning method that has partially revolutionized image analysis and language technology.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"has-text-align-center has-sizing-large\">Contact us:<\/p>\n\n\n\t\t<div id=\"post-type-multi-block_e04e206852399061f9edec8f1a1847c6\" class=\"wp-block-post-type-multi type-manual style-card-bc_employee t2-grid\">\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-12\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/employees\/petter-abrahamsen\/\" class='card-employee'>\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2024\/05\/petter-abrahamsen-23.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-employee__content\">\n\t\t\t<p class=\"card-employee__name\">Petter Abrahamsen<\/p>\n\t\t\t\t\t\t\t<p class=\"card-employee__position\">Research Director<\/p>\n\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-12\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/employees\/anders-loland\/\" class='card-employee'>\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2024\/05\/anders-loland-12.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-employee__content\">\n\t\t\t<p class=\"card-employee__name\">Anders L\u00f8land<\/p>\n\t\t\t\t\t\t\t<p class=\"card-employee__position\">Research Director<\/p>\n\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-12\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/employees\/kjersti-aas\/\" class='card-employee'>\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/01\/kjersti-aas-20.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-employee__content\">\n\t\t\t<p class=\"card-employee__name\">Kjersti Aas<\/p>\n\t\t\t\t\t\t\t<p class=\"card-employee__position\">Research Director SAMBA<\/p>\n\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n<\/div>\n\n\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">Industries involving machine learning<\/h2>\n\n\n\t\t<div id=\"post-type-multi-block_b10408afb397e9aa3530e0b64cd98c3d\" class=\"wp-block-post-type-multi type-manual style-card t2-grid\">\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/health\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-health\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12.613 1.38a3.328 3.328 0 0 0-1.806 1.325c-.454.665-.564 1.177-.566 2.615l-.001.92H8.676c-1.769 0-2.526.059-3.176.247a5.863 5.863 0 0 0-4.114 4.45c-.103.503-.106.746-.106 7.531 0 7.586-.005 7.43.288 8.289a5.886 5.886 0 0 0 4.452 3.879c.396.075 1.504.084 9.98.084s9.584-.009 9.98-.084a5.886 5.886 0 0 0 4.452-3.879c.293-.859.288-.703.288-8.289 0-6.785-.003-7.028-.106-7.531a5.863 5.863 0 0 0-4.114-4.45c-.649-.188-1.407-.247-3.169-.247h-1.558l-.026-1.16c-.023-1.07-.036-1.194-.165-1.591a3.335 3.335 0 0 0-1.581-1.858c-.671-.351-.671-.351-4.035-.347-2.707.003-3.067.014-3.353.096m6.097 1.391c.756.109 1.348.653 1.498 1.378.032.156.059.69.059 1.187v.904h-8.534v-.904c0-.497.027-1.031.059-1.187a1.78 1.78 0 0 1 1.449-1.375c.401-.058 5.068-.061 5.469-.003m7.397 5.139a4.453 4.453 0 0 1 3.047 3.267c.094.401.099.784.099 7.383v6.96l-.119.427a6.542 6.542 0 0 1-.37.933c-.218.437-.33.584-.815 1.073-.512.515-.612.59-1.122.836-1.045.504-.127.464-10.827.464s-9.782.04-10.827-.464c-.51-.246-.61-.321-1.122-.836-.485-.489-.597-.636-.815-1.073a6.542 6.542 0 0 1-.37-.933l-.119-.427V11.547l.118-.463c.371-1.455 1.506-2.683 2.886-3.121.225-.072.541-.15.702-.174.162-.024 4.542-.04 9.734-.036l9.44.007.48.15m-10.454 4.437a.926.926 0 0 0-.266.228c-.102.139-.108.241-.122 2.425l-.015 2.28h-2.243c-2.03 0-2.259.009-2.4.092-.16.094-.367.449-.367.628s.207.534.367.628c.141.083.37.092 2.401.092h2.245v2.219c0 2.177.003 2.224.116 2.425.29.517 1.018.479 1.303-.068.061-.117.075-.561.075-2.36V18.72h2.245c2.529 0 2.463.01 2.662-.402.132-.273.132-.363 0-.636-.199-.412-.133-.402-2.662-.402h-2.245v-2.216c0-2.388.003-2.361-.287-2.632-.175-.163-.577-.206-.807-.085\"\/><\/svg>\n\t\t\t\tHealth\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/natural-resources\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-resources\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M6.901 2.295c-.98.13-1.904.633-2.47 1.344-.454.571-2.848 5.285-3.014 5.937-.3 1.177-.136 2.437.435 3.346.157.249 12.539 16.261 13.546 17.517.337.421.855.432 1.188.026.654-.801 13.495-17.713 13.655-17.985a4.57 4.57 0 0 0 .349-.827c.122-.406.143-.567.136-1.05-.015-.944-.082-1.126-1.374-3.696-1.258-2.503-1.454-2.863-1.779-3.274-.419-.531-1.155-1.006-1.921-1.242l-.399-.122-9.013-.009c-4.957-.004-9.16.012-9.339.035m5.046 1.469c0 .017-.75 1.48-1.667 3.252l-1.667 3.221-2.917.002-2.917.001.08-.28c.079-.279 2.164-4.485 2.51-5.063A2.388 2.388 0 0 1 6.88 3.806c.302-.066 5.067-.105 5.067-.042m8.079 3.223 1.673 3.226-2.849.014c-1.568.008-4.132.008-5.7 0l-2.849-.014 1.065-2.053 1.68-3.241.614-1.187 2.346.014 2.346.014 1.674 3.227m5.018-3.195c.478.088.864.295 1.226.658.301.302.402.481 1.554 2.75 1.095 2.157 1.403 2.812 1.403 2.989 0 .032-1.079.05-2.92.05l-2.92-.002-1.667-3.221a240.377 240.377 0 0 1-1.667-3.252c0-.058 4.663-.033 4.991.028M10.888 18.347l2.577 6.958c.075.205.116.349.09.32-.026-.028-2.377-3.054-5.223-6.724-4.496-5.797-5.399-6.99-5.399-7.139 0-.016 1.241-.023 2.758-.016l2.757.014 2.44 6.587m10.989-6.36c-.053.139-1.391 3.751-2.973 8.026-1.583 4.275-2.889 7.773-2.904 7.773-.015 0-1.321-3.498-2.904-7.773-1.582-4.275-2.92-7.887-2.973-8.026l-.096-.254h11.946l-.096.254m7.05-.187c-.082.14-10.28 13.512-10.381 13.613-.059.059-.095.083-.079.054.016-.03 1.162-3.114 2.546-6.854 1.385-3.74 2.529-6.818 2.542-6.84.014-.022 1.237-.04 2.718-.04 2.14 0 2.685.014 2.654.067\"\/><\/svg>\n\t\t\t\tNatural resources\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/climate-and-environment\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t\t\tClimate and environment\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/community\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-society\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M19.173.661c-1.022.197-1.757.59-2.506 1.339-.6.6-.907 1.082-1.15 1.806a4.74 4.74 0 0 0 3.29 6.113c2.352.62 4.847-.699 5.653-2.99A4.738 4.738 0 0 0 21.193.746c-.538-.144-1.502-.185-2.02-.085m1.887 1.596a3.372 3.372 0 0 1 2.039 2.072c.183.559.183 1.449 0 2.008-.313.955-1.141 1.782-2.095 2.095-.321.105-.501.128-1.004.128s-.683-.023-1.004-.128a3.372 3.372 0 0 1-2.07-2.033 3.547 3.547 0 0 1-.108-1.745c.258-1.207 1.256-2.225 2.451-2.497.502-.115 1.302-.07 1.791.1M7.067 6.002c-1.696.249-3.258 1.276-4.215 2.771-.8 1.25-1.113 2.99-.802 4.458a6.12 6.12 0 0 0 2.585 3.82l.288.192-.362.179C2.283 18.549.763 20.928.612 23.6c-.03.533-.023.602.077.76.231.366.666.487 1.005.28.267-.163.386-.4.386-.773.001-.474.143-1.266.325-1.812a5.798 5.798 0 0 1 3.65-3.65c3.147-1.052 6.513.578 7.54 3.65.182.546.324 1.338.325 1.812 0 .373.119.61.386.773.356.217.808.071 1.025-.33.099-.183.101-.232.04-.905-.099-1.091-.311-1.867-.755-2.765-.677-1.373-1.851-2.562-3.177-3.218l-.362-.179.288-.192c1.86-1.239 2.913-3.464 2.67-5.644-.212-1.913-1.152-3.454-2.752-4.512-1.197-.791-2.718-1.113-4.216-.893m2.16 1.571a4.601 4.601 0 0 1 2.135 1.316c.543.587.851 1.138 1.078 1.929.169.589.169 1.775 0 2.364a4.602 4.602 0 0 1-1.256 2.109 4.49 4.49 0 0 1-2.002 1.149c-.597.172-1.774.169-2.382-.004a4.616 4.616 0 0 1-2.162-1.325c-.543-.587-.851-1.138-1.078-1.929-.169-.589-.169-1.775 0-2.364.226-.789.535-1.342 1.074-1.925A4.618 4.618 0 0 1 7.209 7.47c.465-.084 1.558-.028 2.018.103m13.84 5.096c-1.696.249-3.258 1.275-4.215 2.771-.8 1.25-1.113 2.99-.802 4.457a6.119 6.119 0 0 0 2.585 3.821l.288.192-.362.179c-2.278 1.127-3.798 3.506-3.949 6.178-.03.533-.023.602.077.76.318.503.978.503 1.285 0 .074-.122.106-.269.106-.494.001-.474.143-1.266.325-1.812a5.796 5.796 0 0 1 3.65-3.649c3.147-1.052 6.513.577 7.54 3.649.182.546.324 1.338.325 1.812 0 .374.119.611.386.774.356.217.808.071 1.025-.33.099-.184.101-.232.04-.905-.099-1.092-.311-1.868-.755-2.766-.677-1.372-1.851-2.561-3.177-3.217l-.362-.179.288-.192c1.86-1.239 2.913-3.464 2.67-5.644-.212-1.913-1.152-3.454-2.752-4.512-1.197-.791-2.718-1.113-4.216-.893m2.16 1.571c.821.233 1.547.68 2.135 1.316.543.587.851 1.138 1.078 1.929.169.588.169 1.775 0 2.363a4.587 4.587 0 0 1-1.287 2.138c-.612.577-1.158.887-1.971 1.121-.597.171-1.774.169-2.382-.005a4.6 4.6 0 0 1-2.162-1.325c-.543-.586-.851-1.137-1.078-1.929-.169-.588-.169-1.775 0-2.363.226-.79.535-1.343 1.074-1.925a4.62 4.62 0 0 1 2.575-1.424c.465-.083 1.558-.027 2.018.104\"\/><\/svg>\n\t\t\t\tSociety\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/technology-and-industry\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-industry\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M21.434 1.369c-.511.17-1.038.711-1.169 1.199-.032.116-.452 2.781-.934 5.923-.482 3.141-.883 5.719-.893 5.728-.009.01-1.215-.859-2.68-1.929-1.705-1.245-2.738-1.966-2.868-2.001-.261-.07-.499.004-.708.222l-.155.163L12 13.287l-.027 2.613-3.493-2.551c-4.683-3.42-4.181-3.076-4.488-3.076-.305 0-.506.124-.645.397-.088.172-.094.731-.094 9.397v9.213H2.024c-1.362 0-1.46.02-1.653.336-.209.344-.08.844.265 1.022.145.075 1.692.083 15.364.083s15.219-.008 15.364-.083c.345-.178.474-.678.265-1.022-.193-.316-.291-.336-1.653-.336h-1.229V16.959l-1.092-7.095c-.6-3.901-1.117-7.187-1.147-7.301-.133-.493-.663-1.028-1.187-1.197-.383-.124-3.515-.122-3.887.003m3.546 1.514c.104.121.227.86 1.146 6.853.566 3.694 1.041 6.759 1.055 6.811.025.088-.131.093-2.723.093h-2.75l-.947-.697c-.629-.462-.945-.726-.939-.786.005-.05.422-2.79.926-6.09.688-4.512.939-6.033 1.009-6.132a.494.494 0 0 1 .221-.17c.071-.021.749-.033 1.507-.028l1.378.01.117.136M8.693 15.354c2.127 1.556 3.738 2.699 3.856 2.735.28.087.653-.066.808-.33.105-.178.111-.288.136-2.721l.027-2.536 3.707 2.713c2.038 1.493 3.802 2.759 3.92 2.815.201.095.379.101 3.16.102l2.946.001V29.28H4.747V12.473l.146.104c.081.058 1.791 1.307 3.8 2.777m.985 6.991a.672.672 0 0 0-.398.639c0 .283.12.513.336.645.16.097.279.104 1.877.104 1.598 0 1.718-.007 1.877-.104a.681.681 0 0 0 .357-.635.71.71 0 0 0-.331-.63c-.129-.088-.301-.099-1.823-.112-1.596-.014-1.69-.01-1.895.093m9.106-.068c-.181.036-.472.354-.51.558-.04.213.033.499.164.644.228.252.253.254 2.586.254 2.091 0 2.211-.005 2.373-.104.452-.276.442-.964-.019-1.266-.135-.089-.322-.097-2.309-.104-1.189-.003-2.217.004-2.285.018\"\/><\/svg>\n\t\t\t\tTechnology and industry\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/ocean\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-ocean\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M21.44 2.292c-5.676.343-9.832 2.838-12.075 7.248-1.159 2.28-1.793 4.944-1.966 8.268l-.012.235-3.334 1.402C2.22 20.216.657 20.884.58 20.929c-.384.226-.41.849-.05 1.175.075.068 1.34.456 3.668 1.125l3.554 1.022.997 3.491c.548 1.919 1.035 3.563 1.082 3.653.227.44.976.442 1.236.004.056-.095.729-1.66 1.494-3.479l1.392-3.307.264-.013c.144-.007.695-.051 1.223-.098 5.363-.473 9.328-2.475 11.718-5.915 2.052-2.954 2.909-6.982 2.467-11.6-.141-1.472-.386-2.825-.586-3.234a1.96 1.96 0 0 0-.858-.828c-.392-.173-1.756-.412-3.14-.55-.981-.098-2.699-.137-3.601-.083m3.55 1.573c1.224.125 2.568.361 2.672.47.118.123.377 1.639.504 2.945.085.886.087 3.124.002 3.92-.282 2.655-1.038 4.849-2.268 6.587-.603.85-1.434 1.725-2.182 2.293l-.255.194-.465-.057c-.544-.067-.847-.153-1.243-.351-.728-.365-1.884-1.429-2.409-2.218a5.99 5.99 0 0 1-.983-2.914c-.052-.882-.215-1.045-1.097-1.097-1.454-.085-2.78-.698-3.883-1.796-1.092-1.086-1.512-1.86-1.621-2.988l-.034-.346.304-.368c1.761-2.134 4.075-3.458 7.087-4.058a24.13 24.13 0 0 1 2.454-.315c.589-.038 2.659.021 3.417.099m-5.004 2.878c-.719.256-1.138 1.072-.926 1.8.313 1.079 1.627 1.46 2.433.705.511-.478.644-1.174.339-1.77-.171-.336-.537-.651-.87-.751-.267-.08-.728-.073-.976.016m-8.67 5c1.089 1.442 2.38 2.453 3.767 2.949a8.33 8.33 0 0 0 1.512.376l.301.036.036.301c.118.989.56 2.146 1.18 3.082.68 1.029 1.997 2.225 2.986 2.714l.452.223-.442.202c-1.847.846-4.256 1.349-7.17 1.497-.748.037-.941.1-1.104.354-.042.068-.551 1.251-1.129 2.63-.578 1.378-1.068 2.525-1.09 2.549-.021.023-.368-1.117-.772-2.534-.403-1.416-.78-2.676-.838-2.799a.606.606 0 0 0-.328-.328c-.123-.058-1.383-.435-2.799-.838-1.417-.404-2.557-.752-2.534-.774.024-.023 1.171-.514 2.549-1.093 1.379-.578 2.573-1.098 2.654-1.155.243-.17.291-.334.33-1.135.143-2.903.646-5.228 1.577-7.3l.117-.26.225.456c.124.251.358.633.52.847\"\/><\/svg>\n\t\t\t\tOcean\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-3\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/industries\/finance-and-insurance\/\" class=\"card-list card-list-default\">\n\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-finance\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M13.808.344a2.132 2.132 0 0 0-1.373 1.14l-.142.303-.013 11.091c-.013 9.953-.006 11.121.07 11.38.226.78.886 1.324 1.757 1.447.484.069 3.302.069 3.786 0 .871-.123 1.531-.667 1.757-1.447.076-.259.083-1.427.07-11.38l-.013-11.091-.142-.303A2.113 2.113 0 0 0 18.168.341c-.376-.1-3.995-.098-4.36.003m4.166 1.497a.563.563 0 0 1 .211.183c.037.069.055 3.621.055 10.979 0 10.876 0 10.876-.109 11.015a.686.686 0 0 1-.307.193c-.262.073-3.386.073-3.648 0a.686.686 0 0 1-.307-.193c-.109-.139-.109-.139-.109-11.015 0-7.327.018-10.91.055-10.979.132-.248.233-.26 2.174-.262 1.531-.002 1.855.011 1.985.079m6.74 5.488A1.952 1.952 0 0 0 23.4 8.48l-.12.293-.016 7.52c-.012 5.479.001 7.607.045 7.839.164.854.754 1.435 1.598 1.571.446.072 2.749.073 3.192.001.871-.141 1.459-.746 1.604-1.651.077-.475.077-14.615.001-15.086-.134-.827-.749-1.491-1.533-1.655-.397-.083-3.101-.07-3.457.017m3.352 1.573.174.156.016 7.324c.011 5.254-.001 7.382-.044 7.529-.099.343-.212.365-1.823.346l-1.385-.017-.129-.15-.128-.149V9.058l.156-.155.155-.156h2.834l.174.155M3.6 13.354c-.688.216-1.195.854-1.31 1.646-.064.446-.062 8.556.003 9.003.071.493.233.82.58 1.172.503.511.654.548 2.361.573 1.559.024 2.035-.02 2.439-.224a1.962 1.962 0 0 0 1.016-1.389c.091-.494.078-8.923-.015-9.316-.096-.406-.291-.724-.646-1.048-.518-.474-.611-.492-2.55-.487-1.18.002-1.727.023-1.878.07m3.31 1.444c.36.15.347-.039.331 4.828l-.014 4.371-.122.122c-.119.119-.145.121-1.531.137-1.608.018-1.686.003-1.788-.35-.04-.138-.053-1.523-.042-4.528l.016-4.329.127-.135a.568.568 0 0 1 .24-.157c.062-.012.672-.026 1.355-.03.982-.005 1.28.009 1.428.071M1.487 29.487c-.192.192-.207.229-.207.513 0 .284.015.321.207.513l.207.207h28.612l.207-.207c.192-.192.207-.229.207-.513 0-.284-.015-.321-.207-.513l-.207-.207H1.694l-.207.207\"\/><\/svg>\n\t\t\t\tFinance and insurance\n\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n\n\n<p class=\"has-text-align-center has-sizing-large\">Selected projects <\/p>\n\n\n\t\t<div id=\"post-type-multi-block_189cbd8d23c0e733b013e1080003152e\" class=\"wp-block-post-type-multi type-manual style-card-bc_project-sm t2-grid\">\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/a-credit-model-for-small-and-medium-sized-enterprises\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2023\/06\/austin-distel-wD1LRb9OeEo-unsplash-scaled.jpg\" alt=\"A group of young professionals sit around a coffee table while a man in a white shirt and black jeans holds a presentation, pointing to a whiteboard. It is a modern corporate space and one person has a laptop open on his lap.\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">A credit model for small and medium-sized businesses<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/tilstandsovervakning-i-vind-og-vannkraftverk\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2023\/05\/Ovre_Leirfoss.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Statistical modelling<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Anomaly detection in wind and hydropower plants\u00a0\u00a0<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/the-cleanup-project\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2020\/08\/garmin-b-DDkyGrfvp40-unsplash-1.jpg\" alt=\"Machine learning methods to automatically anonymize text documents with personal data\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Image analysis<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Automatically anonymising text documents (CLEANUP)<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/seabee\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2023\/07\/dion-tavenier-AwH-d-FUgwo-unsplash.jpg\" alt=\"Automated analysis of drone data\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Earth observation<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Climate and Environment<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Automated analysis of drone data (SeaBee)<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/automatic-detection-and-prediction-of-anomalies-in-complex-it-systems\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2021\/11\/karsten-winegeart-pJ6HTjx-LV0-unsplash.jpg\" alt=\"Automatic detection and prediction of anomalies in complex IT systems\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Statistical modelling<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Automatic detection and prediction of anomalies in complex IT systems<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/iari-image-analysis-railway-inspection\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2021\/01\/dmitry-vechorko-MRMnkiJE7nA-unsplash.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Image analysis<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Image Analysis Railway Inspection (IARI)<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/oceanwatch\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2021\/05\/polina-kuzovkova-x4idtvSp2Nc-unsplash.jpg\" alt=\"Deep learning methodologies that will automatically interpret sensor data from airborne monitoring of sea and coastal areas\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Image analysis and Earth observation<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Climate and Environment<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Automated airborne monitoring without radio contact (OceanWatch)<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/delautomatisering-av-digital-risikostyring\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2022\/10\/steve-johnson-GntzGVgy0TA-unsplash.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Language technology<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li>Digital security and privacy<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Semi-Automated Cyber Risk Management\u00a0<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-4\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/projects\/rewacc\/\" class=\"card-post card-project\">\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2024\/09\/bilde1-3-1.jpg\" alt=\"The image shows a green, open industrial waster container (a skip) with various contents piled into it.\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-post__content\">\n\t\t\t\t\t\t\t<ul class=\"card-post__categories\">\n\t\t\t\t\t\t\t\t\t\t\t<li>Machine learning<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<h3 class=\"card-post__title\">Smarter waste management with machine learning and radar sensors (ReWaCC)<\/h3>\n\t\t<\/div>\n\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"featured_media":9163,"parent":6893,"menu_order":32,"template":"","meta":{"_acf_changed":false,"_trash_the_other_posts":false,"editor_notices":[],"footnotes":""},"class_list":["post-181","bc_area","type-bc_area","status-publish","has-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_area\/181","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_area"}],"about":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/types\/bc_area"}],"version-history":[{"count":5,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_area\/181\/revisions"}],"predecessor-version":[{"id":35808,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_area\/181\/revisions\/35808"}],"up":[{"embeddable":true,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_area\/6893"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media\/9163"}],"wp:attachment":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media?parent=181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}