{"id":452,"date":"2026-10-14T20:12:32","date_gmt":"2026-10-14T20:12:32","guid":{"rendered":"https:\/\/iot-conference.org\/iot2026\/?page_id=452"},"modified":"2026-10-14T20:32:59","modified_gmt":"2026-10-14T20:32:59","slug":"keynotes","status":"publish","type":"page","link":"https:\/\/iot-conference.org\/iot2026\/keynotes\/","title":{"rendered":"Keynotes"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Keynote 1: Where Should Intelligence Live? Rethinking IoT Architectures for AI and XR<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Speaker:<\/strong> <strong>Prof. Jussi Kangasharju<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"554\" height=\"674\" src=\"https:\/\/iot-conference.org\/iot2026\/wp-content\/uploads\/sites\/14\/2026\/10\/ba9fbc23-fdd1-40d3-a107-b9c000eea689-1.jpg\" alt=\"\" class=\"wp-image-456\" style=\"aspect-ratio:0.8219929287827404;width:155px;height:auto\" srcset=\"https:\/\/iot-conference.org\/iot2026\/wp-content\/uploads\/sites\/14\/2026\/10\/ba9fbc23-fdd1-40d3-a107-b9c000eea689-1.jpg 554w, https:\/\/iot-conference.org\/iot2026\/wp-content\/uploads\/sites\/14\/2026\/10\/ba9fbc23-fdd1-40d3-a107-b9c000eea689-1-247x300.jpg 247w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract:&nbsp;<\/strong>Where should computation and intelligence reside in an IoT system? Edge computing has been used to bring processing closer to devices and users. However, proximity alone is not a sufficient basis for architectural decisions. Application requirements, access networks, and the relative costs of computation, memory, storage, and communication all shape whether a deployment makes sense. Based on our past research into cloud connectivity and recent measurements of a collaborative XR classroom, this talk revisits the assumptions behind edge computing. Our XR deployment provides a concrete example of how remote connectivity, wireless access, device behavior, and shared-state synchronization contribute differently to system performance. Extending this example with AI raises further questions about model placement, inference quality, resource sharing, and the timing requirements of different functions.  We then explore three architectural directions across a tradeoff spanning computation, storage, and communication. Changing memory costs lets us put this tradeoff in a new light. We conclude by identifying when each approach is viable and how systems might adapt as workloads, connectivity, and resource costs change.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Bio:&nbsp;<\/strong>Jussi Kangasharju received his MSc from Helsinki University of Technology in 1998. He received his Diplome d&#8217;Etudes Approfondies (DEA) from the Ecole Superieure des Sciences Informatiques (ESSI) in Sophia Antipolis in 1998. In 2002 he received his PhD from University of Nice Sophia Antipolis\/Institut Eurecom. In 2002 he joined Darmstadt University of Technology (TUD), first as post-doctoral researcher, and from 2004 onwards as assistant professor. Since June 2007 Jussi is a professor at the department of computer science at University of Helsinki and from 2022 onwards he is the head of the department. Between 2009 and 2012 he was the director of the Future Internet research program at Helsinki Institute for Information Technology (HIIT). Jussi&#8217;s research interests are information-centric networks, edge and cloud computing, content distribution, opportunistic networks, and green ICT. He is a member of IEEE and ACM.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Keynote 1: Where Should Intelligence Live? Rethinking IoT Architectures for AI and XR Speaker: Prof. Jussi Kangasharju Abstract:&nbsp;Where should computation and intelligence reside in an IoT system? Edge computing has &#8230;<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-452","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/pages\/452","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/comments?post=452"}],"version-history":[{"count":4,"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/pages\/452\/revisions"}],"predecessor-version":[{"id":460,"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/pages\/452\/revisions\/460"}],"wp:attachment":[{"href":"https:\/\/iot-conference.org\/iot2026\/wp-json\/wp\/v2\/media?parent=452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}