BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.12//EN BEGIN:VEVENT UID:1037@edgeaihub.co.uk DTSTART;TZID=Europe/London:20261103T180000 DTEND;TZID=Europe/London:20261103T190000 DTSTAMP:20261026T165838Z URL:https://edgeaihub.co.uk/events/aiothub-webinar-aiot-hub-re-engineering -ai/ SUMMARY:AIoTHub Webinar: AIoT Hub - (Re)-engineering AI DESCRIPTION:AIoTHub (formerly IoT North) Community meetup are pleased to pr esent Blesson Varghese in "(Re)-engineering AI"\nWhen: November 3rd\, 6 PM GMT\n\n \;\n\nPlease see the following links to sign up and join the webinar:\n\n https://www.meetup.com/iot-leeds/events/316456562/\n https: //www.meetup.com/aiotmcr/events/316720792/\n https://www.meetup.com/aioth ub-newcastle/events/316720793/\n https://www.meetup.com/aiothub-scotland/ events/316720794/\n\nAbstract:\nThe widespread deployment of AI beyond the cloud and onto smaller\, resource-constrained devices presents a fundamen tal engineering challenge. While considerable attention has focused on dev eloping increasingly capable models\, making ML systems practical in real- world environments requires us to rethink how we engineer them.\nIn this t alk\, I will discuss three fundamental challenges that arise when deployin g ML systems at scale: they do not run efficiently on small devices\, they have inherent sequential dependencies that limit efficient execution\, an d they are highly memory-intensive. I will present research solutions we h ave developed to address these challenges\, drawing on our experience in d esigning and deploying distributed and edge AI systems.\nRather than focus ing on a particular model or application\, the talk will explore the under lying systems problems and the engineering principles behind our solutions . I will show how rethinking the way ML systems are designed and executed can make AI more practical for deployment across resource-constrained envi ronments.\nBio:\nBlesson Varghese is a Professor of Computer Science at th e University of St Andrews\, UK\, with over 15 years of UK and internation al experience designing\, developing and deploying large-scale distributed computer systems. His research focuses on edge computing and distributed systems\, with an emphasis on translating research into practical systems. He was the recipient of the 2021 IEEE Rising Star Award and held a Royal Society fellowship in partnership with British Telecommunications plc\, su pporting the translation of his research into real-world applications. He directs the Edge Computing Hub\, funded by Rakuten Mobile\, Japan\, and co -leads research within the UK’s National Edge AI Hub. He has filed over ten patents arising from his research. His research has featured in a New Scientist video series and the documentary Clouded\, where he has contribu ted to raising public awareness of emerging computing technologies. END:VEVENT BEGIN:VTIMEZONE TZID:Europe/London X-LIC-LOCATION:Europe/London BEGIN:STANDARD DTSTART:20261025T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT END:STANDARD END:VTIMEZONE END:VCALENDAR