What we’re about
FIRST SOUTHERN CALIFORNIA AREA TINYML MEETUP TO BE ANNOUNCED SOON!
Based on the success of our tinyML meetup group in the Bay Area, we are branching out to other areas of the country.
• What is the purpose of the group?
To spread the word and educate the industry on "tinyML" (broadly defined as machine learning architectures, devices, techniques, tools and approaches capable of performing on-device analytics for a variety of sensing modalities--vision, audio, motion, environmental, human health monitoring etc.) at “mW” or below power range targeting predominately battery operated devices. The tinyML meetup group is an informal monthly gathering of researchers and practitioners working on various aspects of machine learning technologies (hardware-algorithms/networks- software-application) at the extreme low-power regime to share latest developments in this fast growing field and promote collaborations throughout the ecosystem. The format will be presentations with Q&A followed by networking.
• Who should join?
Experts in machine learning technologies at the edge, especially in the low power battery operated regime. This includes hardware architects, software engineers, systems engineers, ASIC designers, algorithms and application developers, low power sensor providers and end users. “Newbees”, i.e. people interested in joining this field and getting up to speed by listening start-of-the-art presentations and interacting with established players are very welcome to join too, both from the industry and the academia.
• What will you do at your events?
Communicate to the attendees the “latest and greatest” in tinyML by watching a presentation from a tinyML expert from the industry or the academia and interfacing with the member of the tinyML Community.
Upcoming events (2)
See all- Network event66 attendees from 50 groups hostingtinyML Talks by Varun Chari from ArmLink visible for attendees
Announcing tinyML Talks on May 7th, 2024
IMPORTANT: Please register hereOnce registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.
8:00 AM - 9:00 AM Pacific Daylight Time (PDT)
Varun Chari, Professor, Staff Software Engineer, Arm
"Streamlining tinyML application development using open-CMSIS and visual studio code"Arm released the Arm CMSIS csolution extension in Visual Studio Code (VSCode), a widely used code editor and IDE in the software community. This extension, along with other Arm extensions, provides a seamless developer experience. This talk aims to provide more insights into developing an ML application using these extensions and open-CMSIS packs and deploying it on software emulated and hardware platforms.
Varun is a Staff Software Engineer in Strategic Alliances Technical Marketing Team at Arm. He focuses on enabling and leading software strategies on emerging technologies relevant to Arm across the strategic partners (Google, Meta, Amazon, Microsoft) in Machine Learning and IoT space.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available on the tinyML website and 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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- Network event137 attendees from 50 groups hostingtinyML Talks by Jim Huang from University of SydneyLink visible for attendees
Announcing tinyML Talks on May 14th, 2024
IMPORTANT: Please register here
Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.
8:00 AM - 9:00 AM Pacific Daylight Time (PDT)
Zhaojing (Jim) Huang, PhD Candidate at the School of Biomedical Engineering, University of Sydney
"Unleashing The Power of Tiny Neural Network Models in Medical Devices"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.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available on the tinyML website and 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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Past events (230)
See all- Network event64 attendees from 50 groups hostingtinyML Talks by Senem Velipasalar from Syracuse UniversityThis event has passed