Announcing our next tinyML Talks webcast! Jim Huang from University of Sydney will present Unleashing The Power of Tiny Neural Network Models in Medical Devices on May 14, 2024 at 8:00 AM Pacific Time.
IMPORTANT: Please register here
In today’s rapidly evolving healthcare landscape, the integration of machine learning technology is driving fundamental transformations. Picture a future where wearable devices become indispensable allies, offering unprecedented precision in diagnosing medical conditions. This presentation delves deep into the realm of advanced and efficient neural network models, particularly tinyML, and their pivotal role in reshaping the future of medical diagnosis through long-term monitoring. Furthermore, personalization emerges as a crucial need that impacts the need and use around the medical devices design and technology. Continuously evolving and innovative models are refining on-edge performances, thereby enhancing the potential of the next generation of these devices. During this session, we will explore some of the novel and compatible tinyML models that have shown promising potential, discussing their implications and contributions to the future.
Zhaojing (Jim) Huang is a second-year PhD student in the School of Biomedical Engineering at the University of Sydney. His research focuses on the application of tinyML in the analysis of bio-signal data, particularly in the realm of medical diagnostics. With a keen interest in leveraging cutting-edge technology for healthcare advancements, he is committed to exploring the potential of machine learning in addressing critical challenges in biomedical engineering.
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IMPORTANT: Please register here
Once registered, you will receive a link and dial in information to Zoom teleconference by email, that you can also add to your calendar.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available here on the tinyML Forum and the tinyML YouTube Channel afterwards for those who missed the live session. Please take a moment and subscribe to the YouTube channel today.
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