{"id":1718,"date":"2024-02-29T13:50:47","date_gmt":"2024-02-29T13:50:47","guid":{"rendered":"https:\/\/dataninja.nrw\/?p=1718"},"modified":"2024-02-29T13:53:07","modified_gmt":"2024-02-29T13:53:07","slug":"12-01-24-nirehaps-shines-at-nldl-2024","status":"publish","type":"post","link":"https:\/\/dataninja.nrw\/?p=1718","title":{"rendered":"12.01.24: NireHApS shines at NLDL 2024"},"content":{"rendered":"\n<p>Project NireHaps showcased a groundbreaking Spiking-Convolutional Neural Network (SC-NN) model for image inpainting at the <a rel=\"noreferrer noopener\" href=\"https:\/\/www.nldl.org\" target=\"_blank\">Northern Lights Deep Learning Conference 2024<\/a>. <br>By combining Spiking Neural Networks (SNNs) and Convolutional Neural Networks (CNNs), they achieved state-of-the-art results in generating high-quality inpainted images. This work was not only recognized as the best research outcome, but Sanaullah was also nominated as the best presenter.&nbsp;Congratulations!<\/p>\n\n\n\n<p>For more information, check out <a href=\"https:\/\/www.linkedin.com\/posts\/sfi-visual-intelligence_nldl-machinelearning-deeplearning-activity-7150969231700865025-DPdd?utm_source=share&amp;utm_medium=member_ios\" target=\"_blank\" rel=\"noreferrer noopener\">this post on LinkedIn<\/a>, or dive right into the paper:<\/p>\n\n\n\n<p>Sanaullah, S., Roy, K., R\u00fcckert, U., and Jungeblut. T. (2024, January). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In&nbsp;<em>Northern Lights Deep Learning Conference<\/em>&nbsp;(pp. 220-227). PMLR. <a rel=\"noreferrer noopener\" href=\"https:\/\/openreview.net\/pdf?id=0YiM1yOSUq\" target=\"_blank\">Link to paper.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Project NireHaps showcased a groundbreaking Spiking-Convolutional Neural Network (SC-NN) model for image inpainting at the Northern Lights Deep Learning Conference [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1723,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ub_ctt_via":"","footnotes":""},"categories":[1],"tags":[],"featured_image_src":"https:\/\/dataninja.nrw\/wp-content\/uploads\/2024\/02\/1704923920174-1-1.jpeg","author_info":{"display_name":"admin","author_link":"https:\/\/dataninja.nrw\/?author=1"},"_links":{"self":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/posts\/1718"}],"collection":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1718"}],"version-history":[{"count":3,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/posts\/1718\/revisions"}],"predecessor-version":[{"id":1724,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/posts\/1718\/revisions\/1724"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/media\/1723"}],"wp:attachment":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1718"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1718"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}