{"id":5002,"date":"2025-05-06T13:29:55","date_gmt":"2025-05-06T13:29:55","guid":{"rendered":"https:\/\/www.atm.helsinki.fi\/peex\/?post_type=avada_portfolio&#038;p=5002"},"modified":"2025-06-24T13:33:44","modified_gmt":"2025-06-24T13:33:44","slug":"summer-school-on-application-of-ai-ml-techniques-in-atmospheric-science-3","status":"publish","type":"avada_portfolio","link":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/portfolio-items\/summer-school-on-application-of-ai-ml-techniques-in-atmospheric-science-3\/","title":{"rendered":"Summer School on \u201cApplication of AI\/ML Techniques in Atmospheric Science\u201d"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;margin-bottom: 0px;margin-top: 26px;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row\"><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div ><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-none\" style=\"width:100%;max-width:60%;\"><img decoding=\"async\" width=\"300\" height=\"154\" title=\"ai-ml-lahti-school_aug2025\" src=\"https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-300x154.jpg\" class=\"img-responsive wp-image-5003\" srcset=\"https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-200x103.jpg 200w, https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-400x205.jpg 400w, https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-600x308.jpg 600w, https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-800x410.jpg 800w, https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025-1200x616.jpg 1200w, https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/06\/ai-ml-lahti-school_aug2025.jpg 1686w\" sizes=\"(max-width: 1024px) 100vw, (max-width: 850px) 100vw, 1200px\" \/><\/span><\/div><div class=\"fusion-text fusion-text-1\" style=\"margin-top:4%;\"><p>The Lahti University Campus, the University of Helsinki (UH), Institute for Atmospheric and Earth System Research (INAR) and the Lappeenranta-Lahti University of Technology (LUT), Department of Computational Engineering are pleased to announce the summer school on \u201c<em>Application of Artificial Intelligence \/ Machine Learning (AI \/ ML) techniques in Atmospheric Science<\/em>\u201d from August 11 to 15, 2025, in city of Lahti, Finland.<\/p>\n<p>This summer school will provide introductory lectures on relevant atmospheric topics and computational methods. Students (BSc, MSc, PhD levels) will work in small mixed groups with different scientific backgrounds for the hands-on training, covering about half of the course time. Each group will use previously created atmospheric datasets in the exercise to train an end-to-end neural network.<\/p>\n<p>See more details in\u00a0<a href=\"https:\/\/peexhq.home.blog\/wp-content\/uploads\/2025\/05\/agenda_peex-seminar_apr2025_vf.pdf\">flyer<\/a>.<\/p>\n<p>For questions, please, contact by e-mail Prof. Michael Boy ( michael.boy(at)helsinki.fi ).<\/p>\n<p><em>Text by: Prof. Michael Boy, UHEL-INAR &amp; LUT<\/em><\/p>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-0{width:100% !important;margin-top : 4%;margin-bottom : 20px;}.fusion-builder-column-0 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:850px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-2{ padding-top : 0px;margin-top : 0px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":5003,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"portfolio_category":[24],"portfolio_skills":[],"portfolio_tags":[],"class_list":["post-5002","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-peex-news"],"_links":{"self":[{"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/avada_portfolio\/5002","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/avada_portfolio"}],"about":[{"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/types\/avada_portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/comments?post=5002"}],"version-history":[{"count":1,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/avada_portfolio\/5002\/revisions"}],"predecessor-version":[{"id":5004,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/avada_portfolio\/5002\/revisions\/5004"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/media\/5003"}],"wp:attachment":[{"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/media?parent=5002"}],"wp:term":[{"taxonomy":"portfolio_category","embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/portfolio_category?post=5002"},{"taxonomy":"portfolio_skills","embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/portfolio_skills?post=5002"},{"taxonomy":"portfolio_tags","embeddable":true,"href":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/wp-json\/wp\/v2\/portfolio_tags?post=5002"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}