{"id":1692,"date":"2023-08-09T15:17:51","date_gmt":"2023-08-09T15:17:51","guid":{"rendered":"https:\/\/dafx23.create.aau.dk\/?page_id=1692"},"modified":"2023-09-07T09:16:10","modified_gmt":"2023-09-07T09:16:10","slug":"workshops","status":"publish","type":"page","link":"https:\/\/dafx23.create.aau.dk\/index.php\/workshops\/","title":{"rendered":"Workshops"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1692\" class=\"elementor elementor-1692\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9855de4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9855de4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d902397\" data-id=\"d902397\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e1d5a59 elementor-widget elementor-widget-spacer\" data-id=\"e1d5a59\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-16f32c0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16f32c0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-71e32dc\" data-id=\"71e32dc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-757d2b4 elementor-widget elementor-widget-heading\" data-id=\"757d2b4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h1 class=\"elementor-heading-title elementor-size-xxl\">Workshops<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f65176b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f65176b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-18e5cf8\" data-id=\"18e5cf8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-76283d1 elementor-widget elementor-widget-spacer\" data-id=\"76283d1\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9ee1ea6 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9ee1ea6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-86e0277\" data-id=\"86e0277\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f5b7a72 elementor-widget elementor-widget-heading\" data-id=\"f5b7a72\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">04\/09 Workshop 1 - Applying Machine Learning to Virtual Analog Modeling<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-148d10d elementor-widget elementor-widget-text-editor\" data-id=\"148d10d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h4>Boris Kuznetsov<\/h4><p>How do we apply advances in the machine learning and deep learning fields to the discipline of classical signal processing and virtual analog modeling?<\/p><p>We will talk about how you can use machine learning to both help you design and iterate on virtual analog models faster and how to potentially replace entire subsets of your work with deep learning.<\/p><h4>\u00a0<\/h4><h4>Bio<\/h4><p>Boris Kuznetsov obtained his Bachelor&#8217;s in Electrical Engineering at the University for Applied Sciences in Karlsruhe, Germany, followed by a Master&#8217;s in Sound and Music Computing at the Aalborg University in Copenhagen, Denmark.<\/p><p>He worked as a DSP engineer at Harman and a Research Engineer at Native Instruments, where he mainly worked on the technology behind Guitar Rig 6&#8217;s ICM amplifiers, a deep learning framework to model guitar amplifiers and other analog sound processing devices.<\/p><p>He currently lives in London, UK.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d8fb2c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d8fb2c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e8bd546\" data-id=\"e8bd546\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e276374 elementor-widget elementor-widget-text-editor\" data-id=\"e276374\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4>Workshop activities<\/h4><ol><li>Quick revision of deep learning basics<\/li><li>Establishing the link between RNNs and (nonlinear) ODEs<\/li><li>JAX Basics<\/li><li>Implementing and training a differentiable State Variable Filter in JAX<\/li><li>A simple deep Wiener-Hammerstein model using differentiable SVFs and MLPs.<\/li><li>Implementing an implicit diode clipper in JAX<\/li><li>Using stochastic gradient descent to fit the diode clipper model to real data<\/li><li>A general deep nonlinear state space model to fit any system representable as an ODE<\/li><li>How to use Acme.jl to generate synthetic training data<\/li><li>Q &amp; A<\/li><\/ol><h4>\u00a0<\/h4><h4>Target Audience<\/h4><p>Students, researchers and industry practitioners interested in using deep learning\/machine learning to accelerate their VA pursuits.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-21b96af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"21b96af\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-d3d92e2\" data-id=\"d3d92e2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8633778 elementor-widget elementor-widget-text-editor\" data-id=\"8633778\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4>\u00a0Prerequisites<\/h4><p>Basic understanding of digital signal processing for musical applications and virtual analog modeling will be required. Deep learning knowledge is helpful, but not necessary to follow along.<\/p><h4>\u00a0<\/h4><h4>Material<\/h4><p>Laptop with:<\/p><ul><li>Python3<\/li><li>(Optional) Julia<\/li><\/ul><p>Packages:<\/p><ul><li>Python3<\/li><li>JAX<\/li><li>Matplotlib<\/li><li>Scipy<\/li><li>Numpy<\/li><li>Soundfile<\/li><li>Julia<\/li><li>Acme.jl<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b3a4a4b\" data-id=\"b3a4a4b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d87bb84 elementor-widget elementor-widget-image\" data-id=\"d87bb84\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"669\" height=\"1189\" src=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Boris-Kuznetsov.png\" class=\"attachment-medium_large size-medium_large wp-image-2055\" alt=\"\" srcset=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Boris-Kuznetsov.png 669w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Boris-Kuznetsov-169x300.png 169w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Boris-Kuznetsov-576x1024.png 576w\" sizes=\"(max-width: 669px) 100vw, 669px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7ab3190 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7ab3190\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-03daea8\" data-id=\"03daea8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0ec2fd7 elementor-widget elementor-widget-spacer\" data-id=\"0ec2fd7\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d77711c elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d77711c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-12f0796\" data-id=\"12f0796\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a382e98 elementor-widget elementor-widget-heading\" data-id=\"a382e98\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">08\/09 Workshop 2 - Daisy Dub Hackathon for Digital Audio Effects Enthusiasts and DSP developers (Max\/gen, Rust, C++, PureData, Arduino)<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-217ae7a elementor-widget elementor-widget-text-editor\" data-id=\"217ae7a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Rasmus Kj\u00e6rbo &amp; Leo Fogadi\u0107 &#8211; <i>Componental<\/i><\/p><p>Join us for an exhilarating hackathon workshop centered around the groundbreaking Daisy Dub pre-production prototype: the ultimate swiss army knife tailored for music producers, DSP developers, and DJs. Dive into the expansive world of quadrophonic real-time audio engineering and live performance and experience the processing power of Electro-Smith\u2019s Daisy Seed DFM module.<\/p><p>\u00a0<\/p><p>Registration: <a href=\"https:\/\/forms.gle\/vhc6qzaxT1yF57AA9\">https:\/\/forms.gle\/vhc6qzaxT1yF57AA9<\/a><\/p><p>\u00a0<\/p><h4>Bio<\/h4><p>Rasmus Kj\u00e6rbo: Rasmus is the CEO and driving force behind Componental. With a background as a cand.polyt in Sound and Music Computing from AAU Copenhagen, he blends his academic insights with his entrepreneurial spirit. Rasmus is also the founder and director of Rumkraft &#8211; The Electronic Music School, further emphasizing his deep connection to the music and tech world. Passionate and dedicated, he strives to bring innovation and creativity to the forefront of the audio industry.<\/p><p>Leo Fogadi\u0107:\u00a0As the CTO of Componental, Leo plays an instrumental role in shaping the technical direction of the company. Like Rasmus, he also holds a cand.polyt degree in Sound and Music Computing from AAU Copenhagen. Leo&#8217;s expertise lies in the nexus of music, technology, and software development, ensuring that Componental remains at the cutting edge of innovation. Together with Rasmus, he is committed to revolutionizing the way creators engage with music and technology.<\/p><h4>\u00a0<\/h4><h4>Workshop Objective and Outcome<\/h4><p>Craft cutting-edge audio algorithms for the Daisy Dub device utilizing languages and platforms such as Rust, C++, Arduino, gen (Max by Cycling &#8217;74), or Pure Data. Whether you&#8217;re aiming to revolutionize reverb, recalibrate compression, or reimagine resonance, the floor is yours.<\/p><p>As the culmination of our collective creativity and technical prowess, we&#8217;ll crown a winning algorithm. All workshop-developed algorithms will be compiled into a special &#8216;DAFx &#8217;23 Daisy Dub Package&#8217;, showcasing the collaborative innovation from the event.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-73b34a4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"73b34a4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-97339de\" data-id=\"97339de\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d6e3ac0 elementor-widget elementor-widget-text-editor\" data-id=\"d6e3ac0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4>Program<\/h4><p>9:00 Welcome and intro to Daisy Dub \/ Daisy Seed DFM<\/p><p>9:30 Hackathon start<\/p><p>14:30 Hackathon finish, algorithm presentations and crowning<\/p><p>15:00 Thanks and goodbye<\/p><h4>\u00a0<\/h4><h4>Target Audience<\/h4><p>Participants passionate about DSP programming, particularly those focused on real-time audio effects or synthesis. Both seasoned programmers and novices, especially those acquainted with Max\/gen, are encouraged to join.<\/p><h4>\u00a0<\/h4><h4>Material<\/h4><p>Please bring along a laptop equipped for developing algorithms. Ensure it&#8217;s set up with the necessary software and tools you&#8217;d prefer to work with during the hackathon.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6ac39e9\" data-id=\"6ac39e9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f72e766 elementor-widget elementor-widget-image\" data-id=\"f72e766\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"600\" src=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy1-1024x768.png\" class=\"attachment-large size-large wp-image-1906\" alt=\"\" srcset=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy1-1024x768.png 1024w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy1-300x225.png 300w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy1-768x576.png 768w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy1.png 1379w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0ba07e elementor-widget elementor-widget-image\" data-id=\"b0ba07e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy2-768x512.jpg\" class=\"attachment-medium_large size-medium_large wp-image-1907\" alt=\"\" srcset=\"https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy2-768x512.jpg 768w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy2-300x200.jpg 300w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy2-1024x682.jpg 1024w, https:\/\/dafx23.create.aau.dk\/wp-content\/uploads\/2023\/08\/Daisy2.jpg 1379w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1a004f6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1a004f6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cf63991\" data-id=\"cf63991\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e20b4ea elementor-widget elementor-widget-spacer\" data-id=\"e20b4ea\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Workshops 04\/09 Workshop 1 &#8211; Applying Machine Learning to Virtual Analog Modeling Boris Kuznetsov How do we apply advances in the machine learning and deep learning fields to the discipline of classical signal processing and virtual analog modeling? We will talk about how you can use machine learning to both help you design and iterate [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1692","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/pages\/1692"}],"collection":[{"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/comments?post=1692"}],"version-history":[{"count":70,"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/pages\/1692\/revisions"}],"predecessor-version":[{"id":2263,"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/pages\/1692\/revisions\/2263"}],"wp:attachment":[{"href":"https:\/\/dafx23.create.aau.dk\/index.php\/wp-json\/wp\/v2\/media?parent=1692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}