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UID:24@edgeaihub.co.uk
DTSTART;TZID=Europe/London:20251119T140000
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DTSTAMP:20260115T153431Z
URL:https://edgeaihub.co.uk/events/national-edge-ai-hub-webinar-series-opp
 ortunities-in-on-device-learning/
SUMMARY:National Edge AI Hub Webinar Series: Opportunities in On-device Lea
 rning
DESCRIPTION:Join us for a deep dive into the future of machine learning at 
 the edge. Dr Blesson Varghese will explore how ML models can be trained di
 rectly on the devices where they’re deployed\, unlocking new possibiliti
 es for efficiency\, privacy\, and responsiveness.\n\nDrawing on cutting-ed
 ge research from the Edge Computing Hub\, Dr Varghese will share practical
  techniques for overcoming computation and communication bottlenecks\, ena
 bling ML to run on small form-factor devices.\n\nWhether you're working in
  AI\, edge computing\, or embedded systems\, this is a session you won’t
  want to miss.\n\nWhen: November 19th\, 2 PM GMT\nWhere: Zoom - https://ne
 wcastleuniversity.zoom.us/j/88697614523\n\nAbstract: The premise of on-dev
 ice learning is to train machine learning (ML) models directly on devices 
 where they are deployed. In this talk\, I will discuss our experience with
  making ML work efficiently on a variety of hardware platforms. I will pre
 sent a range of techniques developed in my lab that address computation an
 d communication bottlenecks to make ML systems work on small form-factor d
 evices. These patented works highlight that the new techniques offer viab
 le and promising alternatives to conventional ML for small devices that sh
 ould be explored further.\n\nSpeaker biography: Dr Blesson Varghese is a R
 eader in Computer Science at the University of St Andrews. He has held a R
 oyal Society fellowship to British Telecommunications and directs the Edge
  Computing Hub funded by Rakuten Mobile\, Japan. He received the 2021 IEEE
  Rising Star Award from the Technical Committee on the Internet for fundam
 ental contributions to edge computing systems and applications.
CATEGORIES:Research Webinar,Webinar
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