{"id":79451,"date":"2026-03-02T15:12:46","date_gmt":"2026-03-02T14:12:46","guid":{"rendered":"https:\/\/fhi.nl\/?page_id=79451"},"modified":"2026-03-02T15:12:49","modified_gmt":"2026-03-02T14:12:49","slug":"ai-and-ml-workflows-on-modern-som-architectures-using-the-i-mx95-processor-module","status":"publish","type":"page","link":"https:\/\/fhi.nl\/en\/ai-and-ml-workflows-on-modern-som-architectures-using-the-i-mx95-processor-module\/","title":{"rendered":"AI and ML workflows on modern SoM architectures using the i.MX95 processor module"},"content":{"rendered":"<header id=\"header\" class=\"header header--low header--branch\">\n\n\t\n\t\t\t<div class=\"header__background header__background--graphic\"><\/div>\n\t\n\t<div class=\"container\">\n\t\t<div class=\"header__content\">\n\t\t\t<div class=\"header__first\">\n\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"header__navigation-button\">\n\t\t\t\t\t\t<a class=\"header__navigation-button__arrow\" target=\"_self\" href=\"https:\/\/fhi.nl\/en\/programma-dene\/\">\n\t\t\t\t\t\t\t<svg width=\"56\" height=\"33\" viewbox=\"0 0 56 33\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><rect x=\"56\" y=\"33\" width=\"56\" height=\"33\" rx=\"16.5\" transform=\"rotate(180 56 33)\" fill=\"#2dd881\"\/><path d=\"M22.262 22.456 16.294 16.5l5.968-5.956M39.706 16.5H16.293\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg> Back to program\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<h1 class=\"header__title\" >\n\t\t\t\t\tAI and ML workflows on modern SoM architectures using the i.MX95 processor module\t\t\t\t<\/h1>\n\n\t\t\t\t<div class=\"header__dots-line\">\n\t\t\t\t\t<svg width=\"431\" height=\"9\" viewbox=\"0 0 431 9\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M430.799 4.192a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.135 1.135 0 1 1-2.27 0 1.135 1.135 0 0 1 2.27 0Zm-27.27 0a1.136 1.136 0 1 1-2.272-.001 1.136 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4.968 4.968 0 0 1-4.969 4.966 4.968 4.968 0 0 1-4.968-4.966Zm38.828-.002a4.647 4.647 0 0 1 9.294 0 4.647 4.647 0 0 1-9.294 0Zm38.836.001a4.326 4.326 0 0 1 8.652 0 4.326 4.326 0 0 1-8.652 0Zm38.843-.001a4.005 4.005 0 0 1 8.009 0 4.004 4.004 0 0 1-8.009 0Zm38.856 0a3.682 3.682 0 0 1 7.366 0 3.682 3.682 0 0 1-7.366 0Zm38.832.001a3.361 3.361 0 0 1 6.723 0 3.361 3.361 0 0 1-6.723 0Zm38.844.001a3.04 3.04 0 0 1 6.08 0 3.04 3.04 0 0 1-6.08 0Zm38.84.001a2.718 2.718 0 1 1 5.436.002 2.718 2.718 0 0 1-5.436-.002Zm38.847-.002a2.397 2.397 0 0 1 4.795 0 2.397 2.397 0 0 1-4.795 0Zm38.832-.001a2.076 2.076 0 1 1 4.151.002 2.076 2.076 0 0 1-4.151-.002Zm38.832 0a1.754 1.754 0 1 1 3.509.002 1.754 1.754 0 0 1-3.509-.002Zm38.848-.001a1.433 1.433 0 1 1 2.866.001 1.433 1.433 0 0 1-2.866-.001Z\" fill=\"#2A5CEE\"\/><\/svg>\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"image-text-content\">\n\t\t\t\t\t\t\t\t\t<div class='heading-wrapper'><svg width=\"13\" height=\"13\" viewbox=\"0 0 13 13\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><circle cx=\"6.394\" cy=\"6.5\" r=\"6.394\" fill=\"#000\"\/><\/svg><h2 class='image-text-content__title'>12.00 \u2013 12.25<\/h2><\/div>\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"image-text-content__text\"><p>Artificial Intelligence (AI) and Machine Learning (ML) workloads rely on efficient and scalable System on Module architectures. These architectures must support current performance requirements, remain adaptable for future application demands and enable sustainable long-term lifecycles for deployed devices.<\/p>\n<p>In this session, we explore how integrated Neural Processing Units (NPUs) in the i.MX95 processor module enable reliable and power-efficient on-device processing for different types of AI and ML tasks. We also cover the practical workflow for adding these capabilities to embedded designs, including key design considerations and real-world examples.<\/p>\n<p>Finally, we demonstrate an application-oriented approach to SoM selection with AI and ML workflow integration. This approach enables more capable edge devices, reduces cloud dependency, and provides a clear path to implementing algorithms on the hardware.<\/p>\n<p>Speaker: Pierluigi Passaro \u2013 Variscite (on behalf of Batenburg Applied Technologies)<\/p>\n<p><a class=\"header__button button\" href=\"https:\/\/events.fhi.nl\/DesignAutomationEmbeddedSystems-2026\" target=\"_blank\" rel=\"noopener\">Register<\/a><\/p>\n<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":43,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"branches":[13],"events":[361],"secretariat":[],"categories":[],"themes_tax":[],"class_list":["post-79451","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI and ML workflows on modern SoM architectures using the i.MX95 processor module - 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